-
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)
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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
-
Zhang, Y.; Zheng, G.; Yan, H.: Bridging information and communication technology and older adults by social network : an action research in Sichuan, China (2023)
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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.
- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.12, S.1437-1448
-
Springer, M.: Schwarzer Schwan im Internet (2020)
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- Source
- Spektrum der Wissenschaft. 2020, H.7, S.29
-
Hubert, M.; Griesbaum, J.; Womser-Hacker, C.: Usability von Browsererweiterungen zum Schutz vor Tracking (2020)
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- Date
- 11. 7.2020 18:50:29
-
Zhang, M.; Zhang, Y.: Professional organizations in Twittersphere : an empirical study of U.S. library and information science professional organizations-related Tweets (2020)
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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
-
Mason, T.; Bawden, D.: Times new plural : the multiple temporalities of contemporary life and the infosphere (2023)
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- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1159-1169
-
Manzuch, Z.; Maceviciute, E.: Getting ready to reduce the digital divide : scenarios of Lithuanian public libraries (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1205-1217
-
Rohman, A.: ¬The emergence, peak, and abeyance of an online information ground : the lifecycle of a Facebook group for verifying information during violence (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.3, S.302-314
-
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)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.11, S.1323-1336
-
Hong, H.; Ye, Q.: Crowd characteristics and crowd wisdom : evidence from an online investment community (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.4, S.423-435
-
Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.8, S.902-915
-
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)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1145-1161
-
Rodriguez-Esteban, R.; Vishnyakova, D.; Rinaldi, F.: Revisiting the decay of scientific email addresses (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.1, S.136-139
-
Hasanain, M.; Elsayed, T.: Studying effectiveness of Web search for fact checking (2022)
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- Source
- Journal of the Association for Information Science and Technology. 73(2022) no.5, S.738-751
-
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)
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- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.13, S.1485-1497
