Proceedings of the 8th International Conference on Social Media &Amp; Society - #SMSociety17 2017
DOI: 10.1145/3097286.3097298
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Identifying Political Topics in Social Media Messages

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Cited by 10 publications
(7 citation statements)
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“…The performance of the multilabel model is in Table 1. Candidates' messages were identified by topic using the lexicon-based approach developed by Jackson et al (2017). The lexicon was created based on three datasets: 1)…”
Section: Automated Classification Of Campaign Messagesmentioning
confidence: 99%
See 1 more Smart Citation
“…The performance of the multilabel model is in Table 1. Candidates' messages were identified by topic using the lexicon-based approach developed by Jackson et al (2017). The lexicon was created based on three datasets: 1)…”
Section: Automated Classification Of Campaign Messagesmentioning
confidence: 99%
“…For immigration, the lexicon included 289 words. The performance of the lexicon for the topic of immigration had an F1 score of .92, with .86 precision and .98 recall (Jackson et al, 2017).…”
Section: Automated Classification Of Campaign Messagesmentioning
confidence: 99%
“…In fact, some of the results could be invalidated if the recall differs for different policy categories as we show it happens in the context of political ads. Finally, Jackson et al [28] proposed to use a lexicon-based approach to built a list of language cues for nine political topics to deal with the lack of training data. The authors evaluated the method over 500 labeled texts and they achieved an accuracy of over 85% for eight out of nine categories.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, semi-automated lexicon-based approaches have been applied regularly by researchers. However, the topicality and coverage of such lexicons and thus the accuracy of this approach can vary greatly [20,29,30,33]. To overcome this problem, researchers have devised strategies to improve the approach.…”
Section: Issue Identification In Social Media Postsmentioning
confidence: 99%