User Experience Design for Automatic Credibility Assessment of News Content About COVID-19

Schulz, K.; Rauenbusch, J.; Fillies, J.; Rutenburg, L.; Karvelas, D.; Rehm, G.

Schulz, K.; Rauenbusch, J.; Fillies, J.; Rutenburg, L.; Karvelas, D.; Rehm, G..

24th International Conference on Human-Computer Interaction, HCII 2022 ; 13517 LNCS:142-165, 2022.

Article in English | Scopus | ID: covidwho-2173838

Keywords

COVID-19; Credibility; Usability; HTTP; Human engineering; Metadata; Transparency; Usability engineering; User interfaces; Credibility assessment; Large parts; Likert scale; Linguistic phenomena; News content; Spread of informations; Unde

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research Language: English Journal: 24th International Conference on Human-Computer Interaction, HCII 2022 Year: 2022 Document Type: Article

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