In the past decade, social media have become increasingly popular for information consumption, due to its easy access, fast dissemination, and low-cost production. However, compared to this explosion of information content, social media presents two major problems. The first concerns the potential propagation of misinformation, often in the form of fake news, which can have significant negative societal effects. The second concerns the extreme difficulty that users may have in finding information of interest in a context characterized by information overload. In this paper, both of these problems are considered and analyzed together. In fact, the main goal of this work is to study the problem of generating automatic summaries of texts (around specific topics of interest) that are at the same time credible. This task has been very little studied in the literature, so this contribution can be considered one of the first works about credible text summarization.

Talarico, F., Viviani, M. (2021). Credible Text Summarization in Social Media. In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne VIC Australia, December 14-17, 2021 (pp.603-610). New York : Association for Computing Machinery [10.1145/3486622.3493978].

Credible Text Summarization in Social Media

Viviani, M
2021

Abstract

In the past decade, social media have become increasingly popular for information consumption, due to its easy access, fast dissemination, and low-cost production. However, compared to this explosion of information content, social media presents two major problems. The first concerns the potential propagation of misinformation, often in the form of fake news, which can have significant negative societal effects. The second concerns the extreme difficulty that users may have in finding information of interest in a context characterized by information overload. In this paper, both of these problems are considered and analyzed together. In fact, the main goal of this work is to study the problem of generating automatic summaries of texts (around specific topics of interest) that are at the same time credible. This task has been very little studied in the literature, so this contribution can be considered one of the first works about credible text summarization.
No
slide + paper
Credible Text Summarization; Fake News; Information Overload; Misinformation; Social Media.;
English
2021 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2021
9781450391153
Talarico, F., Viviani, M. (2021). Credible Text Summarization in Social Media. In WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Melbourne VIC Australia, December 14-17, 2021 (pp.603-610). New York : Association for Computing Machinery [10.1145/3486622.3493978].
Talarico, F; Viviani, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/373758
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