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A value-driven appr...
A value-driven approach to addressing misinformation in social media
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- Komendantova, Nadejda (författare)
- International Institute for Applied Systems Analysis (IIASA)
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- Ekenberg, Love (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,International Institute for Applied Systems Analysis (IIASA), Austria,Stockholm University
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- Svahn, Mattias (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University
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- Larsson, Aron (författare)
- Mittuniversitetet,Stockholms universitet,Institutionen för data- och systemvetenskap,Mid Sweden University, Sweden,Institutionen för informationssystem och –teknologi,Stockholm University,Forum for digitalisering
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- Shah, Syed Iftikhar Hussain (författare)
- International Hellenic University
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- Glinos, Myrsini (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University
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- Koulolias, Vasilis (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University
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- Danielson, Mats (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,International Institute for Applied Systems Analysis (IIASA), Austria,Stockholm University
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(creator_code:org_t)
- 2021-01-29
- 2021
- Engelska.
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Ingår i: Humanities and Social Sciences Communications. - : Springer Science and Business Media LLC. - 2662-9992. ; 8:1
- Relaterad länk:
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https://doi.org/10.1...
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https://www.nature.c...
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https://miun.diva-po... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Misinformation in social media is an actual and contested policy problem given its outreach and the variety of stakeholders involved. In particular, increased social media use makes the spread of misinformation almost universal. Here we demonstrate a framework for evaluating tools for detecting misinformation using a preference elicitation approach, as well as an integrated decision analytic process for evaluating desirable features of systems for combatting misinformation. The framework was tested in three countries (Austria, Greece, and Sweden) with three groups of stakeholders (policymakers, journalists, and citizens). Multi-criteria decision analysis was the methodological basis for the research. The results showed that participants prioritised information regarding the actors behind the distribution of misinformation and tracing the life cycle of misinformative posts. Another important criterion was whether someone intended to delude others, which shows a preference for trust, accountability, and quality in, for instance, journalism. Also, how misinformation travels is important. However, all criteria that involved active contributions to dealing with misinformation were ranked low in importance, which shows that participants may not have felt personally involved enough in the subject or situation. The results also show differences in preferences for tools that are influenced by cultural background and that might be considered in the further development of tools.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications -- Information Systems, Social aspects (hsv//eng)
Nyckelord
- data- och systemvetenskap
- Computer and Systems Sciences
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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