Search (20 results, page 1 of 1)

  • × year_i:[2020 TO 2030}
  • × theme_ss:"Internet"
  1. Si, L.; Zhou, J.: Ontology and linked data of Chinese great sites information resources from users' perspective (2022) 0.02 
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    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.
    Content
    Vgl.: https://www.nomos-elibrary.de/10.5771/0943-7444-2022-8/ko-knowledge-organization-jahrgang-49-2022-heft-8.
    Source
    Knowledge organization. 49(2022) no.8, S.547 - 562
  2. 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 
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    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
  3. Mason, T.; Bawden, D.: Times new plural : the multiple temporalities of contemporary life and the infosphere (2023) 0.01 
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    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
  4. Schrenk, P.: Gesamtnote 1 für Signal - Telegram-Defizite bei Sicherheit und Privatsphäre : Signal und Telegram im Test (2022) 0.01 
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    Date
    22. 1.2022 14:01:14
  5. Mansour, A.: Shared information practices on Facebook : the formation and development of a sustainable online community (2020) 0.01 
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    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.
  6. 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 
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    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.
  7. 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 
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    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
  8. 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 
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    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
  9. 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) 0.00 
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    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.
  10. 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) 0.00 
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    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
  11. Zhang, Y.; Zheng, G.; Yan, H.: Bridging information and communication technology and older adults by social network : an action research in Sichuan, China (2023) 0.00 
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    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
  12. Hubert, M.; Griesbaum, J.; Womser-Hacker, C.: Usability von Browsererweiterungen zum Schutz vor Tracking (2020) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 71(2020) H.2/3, S.95-106
  13. Manzuch, Z.; Maceviciute, E.: Getting ready to reduce the digital divide : scenarios of Lithuanian public libraries (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1205-1217
  14. 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) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.11, S.1323-1336
  15. Aral, S.: ¬The hype machine : how social media disrupts our elections, our economy, and our health - and how we must adapt (2020) 0.00 
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    LCSH
    Information society
    Subject
    Information society
  16. Hong, H.; Ye, Q.: Crowd characteristics and crowd wisdom : evidence from an online investment community (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.4, S.423-435
  17. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.8, S.902-915
  18. Rodriguez-Esteban, R.; Vishnyakova, D.; Rinaldi, F.: Revisiting the decay of scientific email addresses (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.1, S.136-139
  19. Hasanain, M.; Elsayed, T.: Studying effectiveness of Web search for fact checking (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.738-751
  20. 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 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.13, S.1485-1497

Authors

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  • e 18
  • d 2

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