2021
DOI: 10.1016/j.ipm.2021.102597
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Stance detection on social media: State of the art and trends

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Cited by 155 publications
(95 citation statements)
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“…Stance detection takes sentiment analysis a step further, using ML techniques to classify text against a predefined concept. 51 Stance detection algorithms can identify not only whether the sentiment of a post is negative or positive, but whether it agrees with a broader idea-such as atheism or feminism. 52 Operators could use this to identify supporters and their communities during the reconnaissance phase of an operation.…”
Section: Boost Identifying Fissures With Sentiment Analysismentioning
confidence: 99%
“…Stance detection takes sentiment analysis a step further, using ML techniques to classify text against a predefined concept. 51 Stance detection algorithms can identify not only whether the sentiment of a post is negative or positive, but whether it agrees with a broader idea-such as atheism or feminism. 52 Operators could use this to identify supporters and their communities during the reconnaissance phase of an operation.…”
Section: Boost Identifying Fissures With Sentiment Analysismentioning
confidence: 99%
“…Among this latent information, the user's stance, i.e. the expression of a user's point of view and perception toward a given statement [1], is particularly interesting; in fact, stance detection on social media is an emerging opinion mining paradigm that well applies in different social and political contexts, and for which many researchers are working to propose solutions ranging from natural language processing, web science, and social computing [2,3,4,5,6,7,8,9].…”
Section: Introductionmentioning
confidence: 99%
“…These opinions can provide valuable insights into important events, e.g., presidential election. The goal of the stance detection task is to determine whether the author of a piece of text is in favor of, against, or neutral toward a specific target (Mohammad et al, 2016b;Küçük and Can, 2020;ALDayel and Magdy, 2021). Twitter as a social platform has produced a large quantity of user-generated content, which has become a rich source for mining useful information about various topics such as presidential election.…”
Section: Introductionmentioning
confidence: 99%