Detecting controversial events from twitter
WebPaper discussion: Detecting controversial events from twitter, A. Popescu and M. Pennacchiotti, CIKM 2010. Blackboard: n/a: 11: Tu 11/8: Paper discussion: Semi-supervised recognition of sarcastic sentences in Twitter and Amazon, Davidov, Tsur and Rappoport, CoNLL 2010. Blackboard: n/a: Th 11/10 WebMar 2, 2016 · In this paper we analyze the information propagated through three social networks. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors. In …
Detecting controversial events from twitter
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WebJan 1, 2015 · We show that our method is capable of effectively identifying event topics in Twitter ground truth data, while offering better overall performance than a purely content-based method based on LDA topic models. ... A.M., et al.: Detecting controversial events from twitter. In: Proc. of CIKM, pp. 1873–1876. ACM (2010) Google Scholar … WebOct 26, 2010 · Since 2010 and even earlier, researchers use Twitter as an extensive database of data source which to analyze and extract events. There is a wide variety of …
WebMay 25, 2024 · Here \(C_i\) is the comment index and whether it is classified as controversial or not, while c is either the up- or down-votes ratio. Additionally, subreddit moderators may tag a post or comment as controversial, regardless of the number of votes. We assume that the tagging of a comment to be controversial is the result of … WebIf you believe you have discovered a possible vulnerability in the Twitter service, please file a report with our security team including information and detailed instructions about how …
WebJan 6, 2024 · To detect controversial interactions, we collect information on 103,787 comments and 71,579 users under 511 news and label all of the comments. We treat the users, comments, and news in social media as … WebNov 2, 2012 · Detecting controversial events from Twitter. Conference Paper. Oct 2010; ... This paper addresses the task of identifying controversial events using Twitter as a starting point: we propose 3 ...
WebA method, device, and computer-readable storage medium storing instructions are provided for detecting controversial events that are reflected in user-generated content items. In a single-step approach, user-generated content items are received and analyzed by a controversial event detection module, which determines the likelihood that sets of …
WebFeb 3, 2024 · Popescu, AM, Pennacchiotti, M. Detecting controversial events from Twitter. In: Proceedings of the 19th ACM international conference on information and knowledge management, Toronto, ON, Canada, 26–30 October 2010, pp. 1873 – 1876. New York: ACM. Google Scholar diary of key datesWebSocial media provides researchers with continuously updatedinformation about developments of interest to large audiences.This paper addresses the task of identifying … diary of lady macbethWebNov 13, 2016 · Another group of work focuses on detecting special contents such as controversial topics and spams. Popescu and Pennacchiotti developed a method to … diary of lady margaret hobyWebOct 26, 2010 · Social media provides researchers with continuously updated information about developments of interest to large audiences. This paper addresses the task of identifying controversial events using Twitter as a starting point: we propose 3 … cities skylines vehicle countWebA method, device, and computer-readable storage medium storing instructions are provided for detecting controversial events that are reflected in user-generated content items. In a single-step approach, user-generated content items are received and analyzed by a controversial event detection module, which determines the likelihood that sets of … cities skylines vanilla downloadWebJun 6, 2010 · Controversial speech detection on social media is critical for various applications such as content recommendation and controversial event extraction. diary of lady mariaWebMay 22, 2024 · Abstract. This work addresses the online detection of sub-events using Twitter stream data. We formulate the process of sub-event identification as an outlier detection problem using three statistical methods: Kalman Filter, Gaussian Process, and Probabilistic Principal Component Analysis. These methods are used to construct the … diary of life