{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T10:06:40Z","timestamp":1758190000365,"version":"3.44.0"},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:p>\n            We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about news articles in real-time and provides quality indicators about their validity and trustworthiness. These quality indicators derive from i) social media discussions regarding news articles, showcasing the reach and stance towards these articles, and ii) their content and their referenced sources, showcasing the journalistic foundations of these articles. Furthermore, the platform enables domain-experts to review articles and rate the quality of news sources. This augmented view of news articles, which combines automatically extracted indicators and domain-expert reviews, has provably helped the platform users to have a better consensus about the quality of the underlying articles. The platform is built in a distributed and robust fashion and runs operationally handling daily thousands of news articles. We evaluate the SciLens News Platform on the emerging topic of\n            <jats:italic toggle=\"yes\">COVID-19<\/jats:italic>\n            where we highlight the discrepancies between low and high-quality news outlets based on three axes, namely their newsroom activity, evidence seeking and social engagement. A live demonstration of the platform can be found here:\n            <jats:italic toggle=\"yes\">http:\/\/scilens.epfl.ch.<\/jats:italic>\n          <\/jats:p>","DOI":"10.14778\/3415478.3415521","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T18:46:35Z","timestamp":1600109195000},"page":"2969-2972","source":"Crossref","is-referenced-by-count":6,"title":["Scilens news platform"],"prefix":"10.14778","volume":"13","author":[{"given":"Angelika","family":"Romanou","sequence":"first","affiliation":[{"name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"}]},{"given":"Panayiotis","family":"Smeros","sequence":"additional","affiliation":[{"name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"}]},{"given":"Carlos","family":"Castillo","sequence":"additional","affiliation":[{"name":"Universitat Pompeu Fabra (UPF), Barcelona, Spain"}]},{"given":"Karl","family":"Aberer","sequence":"additional","affiliation":[{"name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Lausanne, Switzerland"}]}],"member":"320","published-online":{"date-parts":[[2020,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Infographic: The Best and Worst Science News Sites","author":"Berezow A.","year":"2017","unstructured":"A. Berezow. Infographic: The Best and Worst Science News Sites. American Council on Science and Health, 2017."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188727"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0128193"},{"key":"e_1_2_1_4_1","volume-title":"Social media outpaces print newspapers in the U.S. as a news source","author":"Shearer Elisa","year":"2018","unstructured":"Elisa Shearer. Social media outpaces print newspapers in the U.S. as a news source. Pew Research Center, 10\/12\/2018."},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188730"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098131"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3055133"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313657"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188731"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3415478.3415521","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T02:21:33Z","timestamp":1758075693000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3415478.3415521"}},"subtitle":["a system for real-time evaluation of news articles"],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":10,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2020,8]]}},"alternative-id":["10.14778\/3415478.3415521"],"URL":"https:\/\/doi.org\/10.14778\/3415478.3415521","relation":{},"ISSN":["2150-8097"],"issn-type":[{"type":"print","value":"2150-8097"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}