Finding Strategies Against Misinformation in Social Media: A Qualitative Study-Reference-Cited by-同舟云学术

Finding Strategies Against Misinformation in Social Media: A Qualitative Study

Published:2022-04-27 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems Extended Abstracts
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Author:

Urakami Jacqueline¹,Kim Yeongdae¹,Oura Hiroki²,Seaborn Katie¹

Affiliation:

1. School of Engineering, Tokyo Institute of Technology, Japan

2. Department of Mathematics and Science Education, Tokyo University of Science, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491101.3519661

Reference52 articles.

1. Mohammed H Abd El-Jawad , Rania Hodhod , and Yasser MK Omar . 2018. Sentiment analysis of social media networks using machine learning. In 2018 14th international computer engineering conference (ICENCO) . IEEE , 174–176. Mohammed H Abd El-Jawad, Rania Hodhod, and Yasser MK Omar. 2018. Sentiment analysis of social media networks using machine learning. In 2018 14th international computer engineering conference (ICENCO). IEEE, 174–176.

2. An Empirical Study on Sentiments in Twitter Communities

3. Trends in the diffusion of misinformation on social media

4. The Human in Emotion Recognition on Social Media: Attitudes, Outcomes, Risks

5. Jessica Andrews-Todd Nikita A Salovich and David N Rapp. 2021. Differential effects of pressure on social contagion of memory. Journal of Experimental Psychology: Applied(2021). Jessica Andrews-Todd Nikita A Salovich and David N Rapp. 2021. Differential effects of pressure on social contagion of memory. Journal of Experimental Psychology: Applied(2021).

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