Search (16 results, page 1 of 1)

  • × theme_ss:"Internet"
  • × year_i:[2020 TO 2030}
  1. 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
  2. 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 
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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
  3. 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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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.4, S.491-496
  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) 0.01 
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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) 0.01 
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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) 0.01 
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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) 0.01 
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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) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.738-751
  14. Si, L.; Zhou, J.: Ontology and linked data of Chinese great sites information resources from users' perspective (2022) 0.01 
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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.
  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) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.13, S.1485-1497
  16. Aral, S.: ¬The hype machine : how social media disrupts our elections, our economy, and our health - and how we must adapt (2020) 0.01 
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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"

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