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Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous.

, , , and . LREC, European Language Resources Association (ELRA), (2016)

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Stance polarity in political debates: A diachronic perspective of network homophily and conversations on Twitter., , , , and . Data Knowl. Eng., (2019)Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets., , , and . MICAI (1), volume 10061 of Lecture Notes in Computer Science, page 155-168. Springer, (2016)DisaggregHate It Corpus: A Disaggregated Italian Dataset of Hate Speech., , , , and . CLiC-it, volume 3596 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Debunker Assistant: A Support for Detecting Online Misinformation., , , , , and . CLiC-it, volume 3596 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Policycorpus XL: An Italian Corpus for the Detection of Hate Speech Against Politics., , , , and . CLiC-it, volume 3033 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)iTACOS at IberEval2017: Detecting Stance in Catalan and Spanish Tweets., , and . IberEval@SEPLN, volume 1881 of CEUR Workshop Proceedings, page 185-192. CEUR-WS.org, (2017)Leveraging Hate Speech Detection to Investigate Immigration-related Phenomena in Italy., , , and . ACII Workshops, page 1-7. IEEE, (2019)Debate on political reforms in Twitter: A hashtag-driven analysis of political polarization., , , and . DSAA, page 1-9. IEEE, (2015)Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous., , , and . LREC, European Language Resources Association (ELRA), (2016)Subjective Well-Being and Social Media. A Semantically Annotated Twitter Corpus on Fertility and Parenthood., , , , , , , and . CLiC-it/EVALITA, volume 1749 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)