{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/belittling-the-source-trustworthiness","title":"Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web","arxiv_id":"1809.00494","date":"2018-09-03","proceeding":"WS 2018 11","authors":["Diego Esteves","Aniketh Janardhan Reddy","Piyush Chawla","Jens Lehmann"],"abstract":"With the growth of the internet, the number of fake-news online has been\nproliferating every year. The consequences of such phenomena are manifold,\nranging from lousy decision-making process to bullying and violence episodes.\nTherefore, fact-checking algorithms became a valuable asset. To this aim, an\nimportant step to detect fake-news is to have access to a credibility score for\na given information source. However, most of the widely used Web indicators\nhave either been shut-down to the public (e.g., Google PageRank) or are not\nfree for use (Alexa Rank). Further existing databases are short-manually\ncurated lists of online sources, which do not scale. Finally, most of the\nresearch on the topic is theoretical-based or explore confidential data in a\nrestricted simulation environment. In this paper we explore current research,\nhighlight the challenges and propose solutions to tackle the problem of\nclassifying websites into a credibility scale. The proposed model automatically\nextracts source reputation cues and computes a credibility factor, providing\nvaluable insights which can help in belittling dubious and confirming trustful\nunknown websites. Experimental results outperform state of the art in the\n2-classes and 5-classes setting.","url_abs":"http://arxiv.org/abs/1809.00494v1","url_pdf":"http://arxiv.org/pdf/1809.00494v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"belittling-the-source-trustworthiness","repo_url":"https://github.com/DeFacto/WebCredibility","is_official":0,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"fact-checking","task_name":"Fact Checking"},{"task_slug":"fake-news-detection","task_name":"Fake News Detection"},{"task_slug":"subjectivity-analysis","task_name":"Subjectivity Analysis"},{"task_slug":"web-credibility","task_name":"Web Credibility"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}