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Matching Tweets With Applicable Fact-Checks Across Languages ...
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Abstract:
An important challenge for news fact-checking is the effective dissemination of existing fact-checks. This in turn brings the need for reliable methods to detect previously fact-checked claims. In this paper, we focus on automatically finding existing fact-checks for claims made in social media posts (tweets). We conduct both classification and retrieval experiments, in monolingual (English only), multilingual (Spanish, Portuguese), and cross-lingual (Hindi-English) settings using multilingual transformer models such as XLM-RoBERTa and multilingual embeddings such as LaBSE and SBERT. We present promising results for "match" classification (93% average accuracy) in four language pairs. We also find that a BM25 baseline outperforms state-of-the-art multilingual embedding models for the retrieval task during our monolingual experiments. We highlight and discuss NLP challenges while addressing this problem in different languages, and we introduce a novel curated dataset of fact-checks and corresponding tweets ... : Accepted to De-Factify Workshop at AAAI 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2202.07094 https://arxiv.org/abs/2202.07094
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Exploring Self-Identified Counseling Expertise in Online Support Forums ...
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Leveraging Social Media as a Thermometer to Gauge Patient and Caregiver Concerns: COVID-19 and Prostate Cancer
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In: Eur Urol Open Sci (2021)
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Towards Automatic Detection of Misinformation in Online Medical Videos ...
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Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) ...
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Exploration of Visual, Acoustic, and Physiological Modalities to Complement Linguistic Representations for Sentiment Analysis
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