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On the Reliability and Validity of Detecting Approval of Political Actors in Tweets.

, , и . EMNLP (1), стр. 1413-1426. Association for Computational Linguistics, (2020)

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On the Reliability and Validity of Detecting Approval of Political Actors in Tweets., , и . EMNLP (1), стр. 1413-1426. Association for Computational Linguistics, (2020)Assessing Data Quality in the Age of Digital Social Research: A Systematic Review, , , , , , , , , и . Social Science Computer Review, (2024)(GESIS Panel).Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram., , , , , и . WebSci, стр. 205-209. ACM, (2018)Empowering First Responders through Automated Multimodal Content Moderation., , , , и . ICCC, стр. 1-8. IEEE Computer Society, (2018)(Mis)Measuring People's Attitudes from Social Media.. CSCW Companion, стр. 159-164. ACM, (2020)Ünsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples., , , , и . CoRR, (2020)Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews., , , , и . CoRR, (2022)Total Error Sheets for Datasets (TES-D) - A Critical Guide to Documenting Online Platform Datasets., , , , , и . CoRR, (2023)A Twitter Corpus for Hindi-English Code Mixed POS Tagging., , и . SocialNLP@ACL, стр. 12-17. Association for Computational Linguistics, (2018)People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection., , , , , и . EMNLP, стр. 10480-10504. Association for Computational Linguistics, (2023)