Search (15 results, page 1 of 1)

  • × theme_ss:"Internet"
  • × year_i:[2020 TO 2030}
  1. Aral, S.: ¬The hype machine : how social media disrupts our elections, our economy, and our health - and how we must adapt (2020) 0.02
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    Abstract
    Social media connected the world--and gave rise to fake news and increasing polarization. Now a leading researcher at MIT draws on 20 years of research to show how these trends threaten our political, economic, and emotional health in this eye-opening exploration of the dark side of technological progress. Today we have the ability, unprecedented in human history, to amplify our interactions with each other through social media. It is paramount, MIT social media expert Sinan Aral says, that we recognize the outsized impact social media has on our culture, our democracy, and our lives in order to steer today's social technology toward good, while avoiding the ways it can pull us apart. Otherwise, we could fall victim to what Aral calls "The Hype Machine." As a senior researcher of the longest-running study of fake news ever conducted, Aral found that lies spread online farther and faster than the truth--a harrowing conclusion that was featured on the cover of Science magazine. Among the questions Aral explores following twenty years of field research: Did Russian interference change the 2016 election? And how is it affecting the vote in 2020? Why does fake news travel faster than the truth online? How do social ratings and automated sharing determine which products succeed and fail? How does social media affect our kids? First, Aral links alarming data and statistics to three accelerating social media shifts: hyper-socialization, personalized mass persuasion, and the tyranny of trends. Next, he grapples with the consequences of the Hype Machine for elections, businesses, dating, and health. Finally, he maps out strategies for navigating the Hype Machine, offering his singular guidance for managing social media to fulfill its promise going forward. Rarely has a book so directly wrestled with the secret forces that drive the news cycle every day"
  2. 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
  3. 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
  4. Mason, T.; Bawden, D.: Times new plural : the multiple temporalities of contemporary life and the infosphere (2023) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1159-1169
  5. Manzuch, Z.; Maceviciute, E.: Getting ready to reduce the digital divide : scenarios of Lithuanian public libraries (2020) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1205-1217
  6. 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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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.3, S.302-314
  7. 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
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.11, S.1323-1336
  8. 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
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.726-737
  9. 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
  10. 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
  11. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1145-1161
  12. 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
  13. 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
  14. 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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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.12, S.1437-1448
  15. 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