Search (22 results, page 1 of 2)

  • × theme_ss:"Internet"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Rohman, A.: ¬The emergence, peak, and abeyance of an online information ground : the lifecycle of a Facebook group for verifying information during violence (2021) 0.01 
    0.011341559 = product of:
  0.028353896 = sum of:
    0.0100103095 = weight(_text_:a in 153) [ClassicSimilarity], result of:
      0.0100103095 = score(doc=153,freq=12.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.18723148 = fieldWeight in 153, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046875 = fieldNorm(doc=153)
    0.018343586 = product of:
      0.036687173 = sum of:
        0.036687173 = weight(_text_:information in 153) [ClassicSimilarity], result of:
          0.036687173 = score(doc=153,freq=30.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.4507101 = fieldWeight in 153, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=153)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Information grounds emerge as people share information with others in a common place. Many studies have investigated the emergence of information grounds in public places. This study pays attention to the emergence, peak, and abeyance of an online information ground. It investigates a Facebook group used by youth for sharing information when misinformation spread wildly during the 2011 violence in Ambon, Indonesia. The findings demonstrate change and continuity in an online information ground; it became an information hub when reaching a peak cycle, and an information repository when entering into abeyance. Despite this period of nonactivity, the friendships and collective memories resulting from information ground interactions last over time and can be used for reactivating the online information ground when new needs emerge. Illuminating the lifecycles of an online information ground, the findings have potential to explain the dynamic of users' interactions with others and with information in quotidian spaces.
    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.3, S.302-314
    Type
    a
  2. Son, J.; Lee, J.; Larsen, I.; Nissenbaum, K.R.; Woo, J.: Understanding the uncertainty of disaster tweets and its effect on retweeting : the perspectives of uncertainty reduction theory and information entropy (2020) 0.01 
    0.009452916 = product of:
  0.023632288 = sum of:
    0.013189741 = weight(_text_:a in 5962) [ClassicSimilarity], result of:
      0.013189741 = score(doc=5962,freq=30.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.24669915 = fieldWeight in 5962, product of:
          5.477226 = tf(freq=30.0), with freq of:
            30.0 = termFreq=30.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5962)
    0.010442546 = product of:
      0.020885091 = sum of:
        0.020885091 = weight(_text_:information in 5962) [ClassicSimilarity], result of:
          0.020885091 = score(doc=5962,freq=14.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.256578 = fieldWeight in 5962, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5962)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    The rapid and wide dissemination of up-to-date, localized information is a central issue during disasters. Being attributed to the original 140-character length, Twitter provides its users with quick-posting and easy-forwarding features that facilitate the timely dissemination of warnings and alerts. However, a concern arises with respect to the terseness of tweets that restricts the amount of information conveyed in a tweet and thus increases a tweet's uncertainty. We tackle such concerns by proposing entropy as a measure for a tweet's uncertainty. Based on the perspectives of Uncertainty Reduction Theory (URT), we theorize that the more uncertain information of a disaster tweet, the higher the entropy, which will lead to a lower retweet count. By leveraging the statistical and predictive analyses, we provide evidence supporting that entropy validly and reliably assesses the uncertainty of a tweet. This study contributes to improving our understanding of information propagation on Twitter during disasters. Academically, we offer a new variable of entropy to measure a tweet's uncertainty, an important factor influencing disaster tweets' retweeting. Entropy plays a critical role to better comprehend URLs and emoticons as a means to convey information. Practically, this research suggests a set of guidelines for effectively crafting disaster messages on Twitter.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1145-1161
    Type
    a
  3. Mason, T.; Bawden, D.: Times new plural : the multiple temporalities of contemporary life and the infosphere (2023) 0.01 
    0.008717269 = product of:
  0.021793172 = sum of:
    0.008258085 = weight(_text_:a in 1052) [ClassicSimilarity], result of:
      0.008258085 = score(doc=1052,freq=6.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.1544581 = fieldWeight in 1052, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0546875 = fieldNorm(doc=1052)
    0.013535086 = product of:
      0.027070172 = sum of:
        0.027070172 = weight(_text_:information in 1052) [ClassicSimilarity], result of:
          0.027070172 = score(doc=1052,freq=12.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.3325631 = fieldWeight in 1052, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1052)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Experiences of time and temporalities in contemporary life are analysed, with Floridi's conception of the infosphere as a central concept. The effects of instantaneous communication and digital information are shown to result not simply in the obvious acceleration of many aspects of life, but in multiple temporalities. The informational spaces of Floridi's hyperhistorical time form a new time-based society, with our informational activities expressed in linear, cyclic, re-cyclic, and iterative processes. Examples from the information sciences, particularly information seeking and "slow information," are given, and an outline model for time literacy is presented.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1159-1169
    Theme
    Information
    Type
    a
  4. Mansour, A.: Shared information practices on Facebook : the formation and development of a sustainable online community (2020) 0.01 
    0.008069544 = product of:
  0.020173859 = sum of:
    0.009010308 = weight(_text_:a in 5837) [ClassicSimilarity], result of:
      0.009010308 = score(doc=5837,freq=14.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.1685276 = fieldWeight in 5837, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5837)
    0.011163551 = product of:
      0.022327103 = sum of:
        0.022327103 = weight(_text_:information in 5837) [ClassicSimilarity], result of:
          0.022327103 = score(doc=5837,freq=16.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.27429342 = fieldWeight in 5837, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5837)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Purpose This study aims to develop an in-depth understanding of the underlying dynamics of an emergent shared information practice within a Facebook group, and the resources the group develops to sustain this practice. Design/methodology/approach In-depth semi-structured interviews were carried out with twenty members from the group. The findings are based on comparative analysis combined with narrative analysis and were interpreted using theories of situated learning and Community of Practice. Findings The study shows that although members of this multicultural mothers group endorsed different, sometimes opposing parenting practices, the group had to find common ground when sharing information. Managing these challenges was key to maintaining the group as an open information resource for all members. The group produced a shared repertoire of resources to maintain its activities, including norms, rules, shared understandings, and various monitoring activities. The shared online practice developed by the community is conceptualised in this article as an information practice requiring shared, community-specific understandings of what, when, and how information can or should be sought or shared in ways that are valued in this specific community. The findings show that this shared information practice is not static but continually evolves as members negotiate what is, or not, important for the group. Originality/value The research provides novel insights into the underlying dynamics of the emergence, management, and sustainability of a shared information practice within a contemporary mothers group on Facebook.
    Type
    a
  5. Wang, X.; Zhang, M.; Fan, W.; Zhao, K.: Understanding the spread of COVID-19 misinformation on social media : the effects of topics and a political leader's nudge (2022) 0.01 
    0.0076063494 = product of:
  0.019015873 = sum of:
    0.010812371 = weight(_text_:a in 549) [ClassicSimilarity], result of:
      0.010812371 = score(doc=549,freq=14.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.20223314 = fieldWeight in 549, product of:
          3.7416575 = tf(freq=14.0), with freq of:
            14.0 = termFreq=14.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046875 = fieldNorm(doc=549)
    0.008203502 = product of:
      0.016407004 = sum of:
        0.016407004 = weight(_text_:information in 549) [ClassicSimilarity], result of:
          0.016407004 = score(doc=549,freq=6.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.20156369 = fieldWeight in 549, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=549)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    The spread of misinformation on social media has become a major societal issue during recent years. In this work, we used the ongoing COVID-19 pandemic as a case study to systematically investigate factors associated with the spread of multi-topic misinformation related to one event on social media based on the heuristic-systematic model. Among factors related to systematic processing of information, we discovered that the topics of a misinformation story matter, with conspiracy theories being the most likely to be retweeted. As for factors related to heuristic processing of information, such as when citizens look up to their leaders during such a crisis, our results demonstrated that behaviors of a political leader, former US President Donald J. Trump, may have nudged people's sharing of COVID-19 misinformation. Outcomes of this study help social media platform and users better understand and prevent the spread of misinformation on social media.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.726-737
    Type
    a
  6. Zhang, M.; Zhang, Y.: Professional organizations in Twittersphere : an empirical study of U.S. library and information science professional organizations-related Tweets (2020) 0.01 
    0.007131535 = product of:
  0.017828837 = sum of:
    0.008258085 = weight(_text_:a in 5775) [ClassicSimilarity], result of:
      0.008258085 = score(doc=5775,freq=6.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.1544581 = fieldWeight in 5775, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5775)
    0.009570752 = product of:
      0.019141505 = sum of:
        0.019141505 = weight(_text_:information in 5775) [ClassicSimilarity], result of:
          0.019141505 = score(doc=5775,freq=6.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.23515764 = fieldWeight in 5775, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5775)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Twitter is utilized by many, including professional businesses and organizations; however, there are very few studies on how other entities interact with these organizations in the Twittersphere. This article presents a study that investigates tweets related to 5 major library and information science (LIS) professional organizations in the United States. This study applies a systematic tweets analysis framework, including descriptive analytics, network analytics, and co-word analysis of hashtags. The findings shed light on user engagement with LIS professional organizations and the trending discussion topics on Twitter, which is valuable for enabling more successful social media use and greater influence.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.4, S.491-496
    Type
    a
  7. Rügenhagen, M.; Beck, T.S.; Sartorius, E.J.: Information integrity in the era of Fake News : an experiment using library guidelines to judge information integrity (2020) 0.01 
    0.00655477 = product of:
  0.016386924 = sum of:
    0.005448922 = weight(_text_:a in 113) [ClassicSimilarity], result of:
      0.005448922 = score(doc=113,freq=2.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.10191591 = fieldWeight in 113, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0625 = fieldNorm(doc=113)
    0.010938003 = product of:
      0.021876005 = sum of:
        0.021876005 = weight(_text_:information in 113) [ClassicSimilarity], result of:
          0.021876005 = score(doc=113,freq=6.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.2687516 = fieldWeight in 113, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0625 = fieldNorm(doc=113)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    In this article we report on an experiment that tested how useful library-based guidelines are for measuring the integrity of information in the era of fake news. We found that the usefulness of these guidelines depends on at least three factors: weighting indicators (criteria), clear instructions, and context-specificity.
    Type
    a
  8. Rügenhagen, M.; Beck, T.S.; Sartorius, E.J.: Information integrity in the era of Fake News : ein neuer Studienschwerpunkt für wissenschaftliche Bibliotheken und Forschungseinrichtungen (2020) 0.01 
    0.005751905 = product of:
  0.014379762 = sum of:
    0.005448922 = weight(_text_:a in 5858) [ClassicSimilarity], result of:
      0.005448922 = score(doc=5858,freq=2.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.10191591 = fieldWeight in 5858, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0625 = fieldNorm(doc=5858)
    0.0089308405 = product of:
      0.017861681 = sum of:
        0.017861681 = weight(_text_:information in 5858) [ClassicSimilarity], result of:
          0.017861681 = score(doc=5858,freq=4.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.21943474 = fieldWeight in 5858, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0625 = fieldNorm(doc=5858)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    In this article we report on an experiment that tested how useful library-based guidelines are for measuring the integrity of information in the era of fake news. We found that the usefulness of these guidelines depends on at least three factors: weighting indicators (criteria), clear instructions, and context-specificity.
    Type
    a
  9. Hasanain, M.; Elsayed, T.: Studying effectiveness of Web search for fact checking (2022) 0.01 
    0.0056654564 = product of:
  0.014163641 = sum of:
    0.01021673 = weight(_text_:a in 558) [ClassicSimilarity], result of:
      0.01021673 = score(doc=558,freq=18.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.19109234 = fieldWeight in 558, product of:
          4.2426405 = tf(freq=18.0), with freq of:
            18.0 = termFreq=18.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=558)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 558) [ClassicSimilarity], result of:
          0.007893822 = score(doc=558,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 558, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=558)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Web search is commonly used by fact checking systems as a source of evidence for claim verification. In this work, we demonstrate that the task of retrieving pages useful for fact checking, called evidential pages, is indeed different from the task of retrieving topically relevant pages that are typically optimized by search engines; thus, it should be handled differently. We conduct a comprehensive study on the performance of retrieving evidential pages over a test collection we developed for the task of re-ranking Web pages by usefulness for fact-checking. Results show that pages (retrieved by a commercial search engine) that are topically relevant to a claim are not always useful for verifying it, and that the engine's performance in retrieving evidential pages is weakly correlated with retrieval of topically relevant pages. Additionally, we identify types of evidence in evidential pages and some linguistic cues that can help predict page usefulness. Moreover, preliminary experiments show that a retrieval model leveraging those cues has a higher performance compared to the search engine. Finally, we show that existing systems have a long way to go to support effective fact checking. To that end, our work provides insights to guide design of better future systems for the task.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.738-751
    Type
    a
  10. Zhang, Y.; Zheng, G.; Yan, H.: Bridging information and communication technology and older adults by social network : an action research in Sichuan, China (2023) 0.01 
    0.0055169817 = product of:
  0.013792454 = sum of:
    0.005898632 = weight(_text_:a in 1089) [ClassicSimilarity], result of:
      0.005898632 = score(doc=1089,freq=6.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.11032722 = fieldWeight in 1089, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1089)
    0.007893822 = product of:
      0.015787644 = sum of:
        0.015787644 = weight(_text_:information in 1089) [ClassicSimilarity], result of:
          0.015787644 = score(doc=1089,freq=8.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.19395474 = fieldWeight in 1089, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1089)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    The extant literature demonstrates that the age-related digital divide prevents older adults from enhancing their quality of life. To bridge this gap and promote active aging, this study explores the interplay between social networks and older adults' use of information and communication technology (ICT). Using an action-oriented field research approach, we offered technical help (29 help sessions) to older adult participants recruited from western China. Then, we conducted content analysis to examine the obtained video, audio, and text data. Our results show that, first, different types of social networks significantly influence older adults' ICT use in terms of digital skills, engagement, and attitudes; however, these effects vary from person to person. In particular, our results highlight the crucial role of a stable and long-term supportive social network in learning and mastering ICT for older residents. Second, technical help facilitates the building and reinforcing of such a social network for the participants. Our study has strong implications in that policymakers can foster the digital inclusion of older people through supportive social networks.
    Content
    Beitrag in: JASIST special issue on ICT4D and intersections with the information field. Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24700.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.12, S.1437-1448
    Type
    a
  11. Gruda, D.; Karanatsiou, D.; Mendhekar, K.; Golbeck, J.; Vakali, A.: I alone can fix it : examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach (2021) 0.01 
    0.0051638708 = product of:
  0.012909677 = sum of:
    0.008173384 = weight(_text_:a in 408) [ClassicSimilarity], result of:
      0.008173384 = score(doc=408,freq=8.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.15287387 = fieldWeight in 408, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046875 = fieldNorm(doc=408)
    0.0047362936 = product of:
      0.009472587 = sum of:
        0.009472587 = weight(_text_:information in 408) [ClassicSimilarity], result of:
          0.009472587 = score(doc=408,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.116372846 = fieldWeight in 408, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=408)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Due to their confidence and dominance, narcissistic leaders oftentimes can be perceived favorably by followers, in particular during times of uncertainty. In this study, we propose and examine the relationship between narcissistic leaders and followers who are prone to experience uncertainty intensely and frequently in general, namely highly anxious followers. We do so by applying machine learning algorithms to account for personality traits in a large sample of leaders and followers on Twitter. We find that highly anxious followers are more likely to interact with narcissistic leaders in general, and male narcissistic leaders in particular. Finally, we also examined these interactions in the context of highly popular leaders and found that as leaders become more popular, they begin to attract less anxious followers, regardless of leader gender. We interpret and discuss these findings in relation to previous work and outline limitations and future research recommendations based on our approach.
    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.11, S.1323-1336
    Type
    a
  12. Hong, H.; Ye, Q.: Crowd characteristics and crowd wisdom : evidence from an online investment community (2020) 0.00 
    0.004915534 = product of:
  0.012288835 = sum of:
    0.008341924 = weight(_text_:a in 5763) [ClassicSimilarity], result of:
      0.008341924 = score(doc=5763,freq=12.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.15602624 = fieldWeight in 5763, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5763)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 5763) [ClassicSimilarity], result of:
          0.007893822 = score(doc=5763,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 5763, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5763)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Fueled by the explosive growth of Web 2.0 and social media, online investment communities have become a popular venue for individual investors to interact with each other. Investor opinions extracted from online investment communities capture "crowd wisdom" and have begun to play an important role in financial markets. Existing research confirms the importance of crowd wisdom in stock predictions, but fails to investigate factors influencing crowd performance (that is, crowd prediction accuracy). In order to help improve crowd performance, our research strives to investigate the impact of crowd characteristics on crowd performance. We conduct an empirical study using a large data set collected from a popular online investment community, StockTwits. Our findings show that experience diversity, participant independence, and network decentralization are all positively related to crowd performance. Furthermore, crowd size moderates the influence of crowd characteristics on crowd performance. From a theoretical perspective, our work enriches extant literature by empirically testing the relationship between crowd characteristics and crowd performance. From a practical perspective, our findings help investors better evaluate social sensors embedded in user-generated stock predictions, based upon which they can make better investment decisions.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.4, S.423-435
    Type
    a
  13. Zhang, L.; Gou, Z.; Fang, Z.; Sivertsen, G.; Huang, Y.: Who tweets scientific publications? : a large-scale study of tweeting audiences in all areas of research (2023) 0.00 
    0.004915534 = product of:
  0.012288835 = sum of:
    0.008341924 = weight(_text_:a in 1189) [ClassicSimilarity], result of:
      0.008341924 = score(doc=1189,freq=12.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.15602624 = fieldWeight in 1189, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1189)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 1189) [ClassicSimilarity], result of:
          0.007893822 = score(doc=1189,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 1189, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1189)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    The purpose of this study is to investigate the validity of tweets about scientific publications as an indicator of societal impact by measuring the degree to which the publications are tweeted beyond academia. We introduce methods that allow for using a much larger and broader data set than in previous validation studies. It covers all areas of research and includes almost 40 million tweets by 2.5 million unique tweeters mentioning almost 4 million scientific publications. We find that, although half of the tweeters are external to academia, most of the tweets are from within academia, and most of the external tweets are responses to original tweets within academia. Only half of the tweeted publications are tweeted outside of academia. We conclude that, in general, the tweeting of scientific publications is not a valid indicator of the societal impact of research. However, publications that continue being tweeted after a few days represent recent scientific achievements that catch attention in society. These publications occur more often in the health sciences and in the social sciences and humanities.
    Content
    Beitrag in: JASIST special issue on 'Who tweets scientific publications? A large-scale study of tweeting audiences in all areas of research'. Vgl.: https://asistdl.onlinelibrary.wiley.com/doi/10.1002/asi.24830.
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.13, S.1485-1497
    Type
    a
  14. Manzuch, Z.; Maceviciute, E.: Getting ready to reduce the digital divide : scenarios of Lithuanian public libraries (2020) 0.00 
    0.004725861 = product of:
  0.011814652 = sum of:
    0.007078358 = weight(_text_:a in 5965) [ClassicSimilarity], result of:
      0.007078358 = score(doc=5965,freq=6.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.13239266 = fieldWeight in 5965, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046875 = fieldNorm(doc=5965)
    0.0047362936 = product of:
      0.009472587 = sum of:
        0.009472587 = weight(_text_:information in 5965) [ClassicSimilarity], result of:
          0.009472587 = score(doc=5965,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.116372846 = fieldWeight in 5965, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046875 = fieldNorm(doc=5965)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Digital exclusion is high on the international agenda and covers a variety of inequalities in access to and use of digital technologies, and in the skills and motivation needed for their adoption. This research contributes to the discussion on solving digital exclusion issues by addressing the emergent roles and challenges of Lithuanian public libraries in reducing the digital divide. The article combines a multilevel model of the digital divide with the concept of business idea and analyzes the future scenarios of Lithuanian public libraries. The findings highlight the public libraries' importance in conducting training, consultancy, and experiential learning to stimulate digital inclusion. Potentially, libraries can motivate users to adopt digital technologies, but this role is still not sufficiently visible. The findings show that libraries face challenges of redefining their social value and obtaining the sustaining funds, skills, and infrastructure necessary for digital inclusion programs. However, they can use collaboration networks, effective cost management, and external expertise to overcome these obstacles.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1205-1217
    Type
    a
  15. Hubert, M.; Griesbaum, J.; Womser-Hacker, C.: Usability von Browsererweiterungen zum Schutz vor Tracking (2020) 0.00 
    0.0041173934 = product of:
  0.010293484 = sum of:
    0.004767807 = weight(_text_:a in 5866) [ClassicSimilarity], result of:
      0.004767807 = score(doc=5866,freq=2.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.089176424 = fieldWeight in 5866, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0546875 = fieldNorm(doc=5866)
    0.005525676 = product of:
      0.011051352 = sum of:
        0.011051352 = weight(_text_:information in 5866) [ClassicSimilarity], result of:
          0.011051352 = score(doc=5866,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.13576832 = fieldWeight in 5866, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5866)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Source
    Information - Wissenschaft und Praxis. 71(2020) H.2/3, S.95-106
    Type
    a
  16. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.00 
    0.0035052493 = product of:
  0.008763123 = sum of:
    0.0048162127 = weight(_text_:a in 5945) [ClassicSimilarity], result of:
      0.0048162127 = score(doc=5945,freq=4.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.090081796 = fieldWeight in 5945, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5945)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 5945) [ClassicSimilarity], result of:
          0.007893822 = score(doc=5945,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 5945, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5945)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    In using the Internet to solve everyday problems, older adults tend to find fewer correct answers compared to younger adults. Some authors have argued that these differences could be explained by age-related decline. The present study aimed to analyze the relationship between web-searching navigation and users' age, considering the Intelligence Quotient (IQ) and frequency of Internet and personal computer use. The intent was to identify differences due to age and not to other variables (that is, cognitive decline, expertise with the tool). Eighteen students (18-30?years) and 18 older adults (60-75?years) took part in the experiment. Inclusion criteria were the frequent use of computers and a web-searching activity; the older adults performed the Mini-Mental State Examination to exclude cognitive impairment. Participants were requested to perform the Kaufman Brief Intelligence Test 2nd ed. to measure their IQ level, and nine everyday web-searching tasks of differing complexity. The results showed that older participants spent more time on solving tasks than younger participants, but with the same accuracy as young people. Furthermore, nonverbal IQ improved performance in terms of time among the older participants. Age did not influence web-searching behavior in users with normal expertise and intelligence.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.8, S.902-915
    Type
    a
  17. Rodriguez-Esteban, R.; Vishnyakova, D.; Rinaldi, F.: Revisiting the decay of scientific email addresses (2022) 0.00 
    0.0035052493 = product of:
  0.008763123 = sum of:
    0.0048162127 = weight(_text_:a in 449) [ClassicSimilarity], result of:
      0.0048162127 = score(doc=449,freq=4.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.090081796 = fieldWeight in 449, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=449)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 449) [ClassicSimilarity], result of:
          0.007893822 = score(doc=449,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 449, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=449)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Email is the primary method of communication with authors of scientific publications. This study sought to measure the reliability, over time, of contact email addresses from biomedical publications, particularly depending on email type. Emails were written to randomly selected email addresses from publications in MEDLINE, and email bounce rates were modeled probabilistically. The use of personal email addresses was quantified and compared to the use of other types of email addresses. Eighteen percent of authors' contact email addresses in MEDLINE were estimated to be invalid. A steadily growing share of email addresses was personal: 32% of all new email addresses in MEDLINE in 2018 were of this kind. These email addresses were less likely to be invalid than email addresses from other types of providers. While the percentage of invalid email addresses was significant, it was lower than previously estimated. Personal email addresses are taking an increasingly more important role by supplying more reliable email addresses to scientists. To mitigate the problem of invalid email addresses, institutions should provide email forwarding, scientific directories should offer the possibility of contacting authors, or scientific authors should use more stable email addresses.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.1, S.136-139
    Type
    a
  18. Si, L.; Zhou, J.: Ontology and linked data of Chinese great sites information resources from users' perspective (2022) 0.00 
    0.0035052493 = product of:
  0.008763123 = sum of:
    0.0048162127 = weight(_text_:a in 1115) [ClassicSimilarity], result of:
      0.0048162127 = score(doc=1115,freq=4.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.090081796 = fieldWeight in 1115, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1115)
    0.003946911 = product of:
      0.007893822 = sum of:
        0.007893822 = weight(_text_:information in 1115) [ClassicSimilarity], result of:
          0.007893822 = score(doc=1115,freq=2.0), product of:
            0.08139861 = queryWeight, product of:
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.046368346 = queryNorm
            0.09697737 = fieldWeight in 1115, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              1.7554779 = idf(docFreq=20772, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1115)
      0.5 = coord(1/2)
  0.4 = coord(2/5)
    Abstract
    Great Sites are closely related to the residents' life, urban and rural development. In the process of rapid urbanization in China, the protection and utilization of Great Sites are facing unprecedented pressure. Effective knowl­edge organization with ontology and linked data of Great Sites is a prerequisite for their protection and utilization. In this paper, an interview is conducted to understand the users' awareness towards Great Sites to build the user-centered ontology. As for designing the Great Site ontology, firstly, the scope of Great Sites is determined. Secondly, CIDOC- CRM and OWL-Time Ontology are reused combining the results of literature research and user interviews. Thirdly, the top-level structure and the specific instances are determined to extract knowl­edge concepts of Great Sites. Fourthly, they are transformed into classes, data properties and object properties of the Great Site ontology. Later, based on the linked data technology, taking the Great Sites in Xi'an Area as an example, this paper uses D2RQ to publish the linked data set of the knowl­edge of the Great Sites and realize its opening and sharing. Semantic services such as semantic annotation, semantic retrieval and reasoning are provided based on the ontology.
    Type
    a
  19. Püschel, M.: ¬Der Gutenberg des 20 Jahrhunderts (2020) 0.00 
    0.0016346768 = product of:
  0.008173384 = sum of:
    0.008173384 = weight(_text_:a in 39) [ClassicSimilarity], result of:
      0.008173384 = score(doc=39,freq=2.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.15287387 = fieldWeight in 39, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.09375 = fieldNorm(doc=39)
  0.2 = coord(1/5)
    Type
    a
  20. Springer, M.: Schwarzer Schwan im Internet (2020) 0.00 
    0.0016346768 = product of:
  0.008173384 = sum of:
    0.008173384 = weight(_text_:a in 5903) [ClassicSimilarity], result of:
      0.008173384 = score(doc=5903,freq=2.0), product of:
        0.053464882 = queryWeight, product of:
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.046368346 = queryNorm
        0.15287387 = fieldWeight in 5903, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.153047 = idf(docFreq=37942, maxDocs=44218)
          0.09375 = fieldNorm(doc=5903)
  0.2 = coord(1/5)
    Type
    a

Authors

Languages

  • e 17
  • d 5

Themes