Uncovering Agendas: A Novel French & English Dataset for Agenda Detection on Social Media (2024.lrec-main)
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| Challenge: | a social media analysis of online influence campaigns can reveal the sources of agenda setting . annotated data is limited or nonexistent, but there are methods to detect agenda control . |
| Approach: | They propose a method for detecting instances of agenda control through social media . they use a modest corpus of tweets centered on the 2022 french presidential election . |
| Outcome: | The proposed method overcomes the requirement for large annotated training dataset. |
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| Challenge: | Social media traffic can provide valuable insights into prevailing opinions and social dynamics among different segments of the population. |
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A French Corpus for Event Detection on Twitter (2020.lrec-1)
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| Challenge: | Existing datasets may have different definitions of event or topic, which leads to inconsistent results. |
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| Challenge: | Calls to action are effective means of mobilization in social networks, but their potential for censorship and predicting offline protest events has not yet been evaluated. |
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An Annotated Corpus for Sexism Detection in French Tweets (2020.lrec-1)
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Patricia Chiril, Véronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi, Marlène Coulomb-Gully
| Challenge: | Social media networks allow users to share opinions and sentiments, which can cause a large spreading of hatred or abusive messages. |
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| Challenge: | Amidst growing concern over media manipulation, NLP studies focus on overt strategies like censorship and “fake news”. |
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An Interactive Framework for Profiling News Media Sources (2024.naacl-long)
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| Challenge: | Existing tools for detecting fake news are difficult for automated systems . e.g., we focus on the source level, and ask: Is this source factual or politically biased? |
| Approach: | They propose an interactive framework for news media profiling that uses graphs and pre-trained large language models to characterize social context on social media. |
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“We Demand Justice!”: Towards Social Context Grounding of Political Texts (2024.emnlp-main)
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| Challenge: | Political discourse on social media often contains similar language with opposing intended meanings. |
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We Can Detect Your Bias: Predicting the Political Ideology of News Articles (2020.emnlp-main)
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| Challenge: | a new study examines the role of media in predicting political ideology or bias in news articles . systematic exposure to bias in the news can foster intolerance and ideological segregation . |
| Approach: | They propose an adversarial media adaptation and a specially adapted triplet loss for predicting political ideology in news articles. |
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Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models (2020.coling-main)
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| Challenge: | a study examines the impact of political ideology biases in training data . topic detection methods may contain or propagate certain biase resulting in a skewed data collection . |
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| Challenge: | Political scientists have developed and adopted natural language processing (NLP) methods to exploit text as an additional source of data in their analyses. |
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