Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism

• URL: http://arxiv.org/abs/2012.08919v2
• Date: Tue, 19 Jan 2021 23:02:58 GMT
• Title: Multilingual Evidence Retrieval and Fact Verification to Combat Global Disinformation: The Power of Polyglotism
• Authors: Denisa A.O. Roberts
• Abstract summary: This article investigates multilingual evidence retrieval and fact verification as a step to combat global disinformation. The goal is building multilingual systems that retrieve in evidence-rich languages to verify claims in evidence-poor languages.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This article investigates multilingual evidence retrieval and fact verification as a step to combat global disinformation, a first effort of this kind, to the best of our knowledge. The goal is building multilingual systems that retrieve in evidence-rich languages to verify claims in evidence-poor languages that are more commonly targeted by disinformation. To this end, our EnmBERT fact verification system shows evidence of transfer learning ability and 400 example mixed English-Romanian dataset is made available for cross-lingual transfer learning evaluation.

Related papers

• Every Language Counts: Learn and Unlearn in Multilingual LLMs [11.42788038138136]
  This paper investigates the propagation of harmful information in multilingual large language models (LLMs) Fake information, regardless of the language it is in, can spread across different languages, compromising the integrity and reliability of the generated content. Standard unlearning techniques, which typically focus on English data, are insufficient in mitigating the spread of harmful content in multilingual contexts.
  arXiv  Detail & Related papers  (2024-06-19T18:01:08Z)
• Do We Need Language-Specific Fact-Checking Models? The Case of Chinese [15.619421104102516]
  This paper investigates the potential benefits of language-specific fact-checking models, focusing on the case of Chinese. We first demonstrate the limitations of translation-based methods and multilingual large language models, highlighting the need for language-specific systems. We propose a Chinese fact-checking system that can better retrieve evidence from a document by incorporating context information.
  arXiv  Detail & Related papers  (2024-01-27T20:26:03Z)
• Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models? [48.88328580373103]
  We propose two parameter-free $textbfL$anguage $textbfR$epresentation $textbfP$rojection modules (LRP2) The first module converts non-English representations into English-like equivalents, while the second module reverts English-like representations back into representations of the corresponding non-English language. Experimental results on the mLAMA dataset demonstrate that LRP2 significantly improves factual knowledge retrieval accuracy and facilitates knowledge transferability across diverse non-English languages.
  arXiv  Detail & Related papers  (2023-11-07T08:16:16Z)
• Lost in Translation -- Multilingual Misinformation and its Evolution [52.07628580627591]
  This paper investigates the prevalence and dynamics of multilingual misinformation through an analysis of over 250,000 unique fact-checks spanning 95 languages. We find that while the majority of misinformation claims are only fact-checked once, 11.7%, corresponding to more than 21,000 claims, are checked multiple times. Using fact-checks as a proxy for the spread of misinformation, we find 33% of repeated claims cross linguistic boundaries.
  arXiv  Detail & Related papers  (2023-10-27T12:21:55Z)
• Give Me More Details: Improving Fact-Checking with Latent Retrieval [58.706972228039604]
  Evidence plays a crucial role in automated fact-checking. Existing fact-checking systems either assume the evidence sentences are given or use the search snippets returned by the search engine. We propose to incorporate full text from source documents as evidence and introduce two enriched datasets.
  arXiv  Detail & Related papers  (2023-05-25T15:01:19Z)
• Multiverse: Multilingual Evidence for Fake News Detection [71.51905606492376]
  Multiverse is a new feature based on multilingual evidence that can be used for fake news detection. The hypothesis of the usage of cross-lingual evidence as a feature for fake news detection is confirmed.
  arXiv  Detail & Related papers  (2022-11-25T18:24:17Z)
• CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval [73.48591773882052]
  Most fact-checking approaches focus on English only due to the data scarcity issue in other languages. We present the first fact-checking framework augmented with crosslingual retrieval. We train the retriever with our proposed Crosslingual Inverse Cloze Task (XICT)
  arXiv  Detail & Related papers  (2022-09-05T17:36:14Z)
• A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT [60.9051207862378]
  multilingual BERT works remarkably well on cross-lingual transfer tasks. Datasize and context window size are crucial factors to the transferability. There is a computationally cheap but effective approach to improve the cross-lingual ability of multilingual BERT.
  arXiv  Detail & Related papers  (2020-04-20T11:13:16Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.