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News and the media has been used through time immemorial to influence thought. What do you believe?
Abstract: Authors: Stephan Ludwig ; Tom van Laer ; Ko de Ruyter ; Mike Friedman Article URL: http://www.tandfonline.com/doi/full/10.1080/07421222.2016.1205927?ai=1gwnd&mi=6b657i&af=R Citation: Journal of Management Information Systems Publication Date: 2016-10-05T04:10:08Z Journal: Journal of Management Information Systems
Pub.: 05 Oct '16, Pinned: 07 Mar '17
Abstract: A web log or blog in short is a trendy way to share personal entries with others through website. A typical blog may consist of texts, images, audios and videos etc. Most of the blogs work as personal online diaries, while others may focus on specific interest such as photographs (photoblog), art (artblog), travel (tourblog), IT (techblog) etc. Another type of blogging called microblogging is also very well known now-a-days which contains very short posts. Like the developed countries, the users of blogs are gradually increasing in the developing countries e.g. Bangladesh. Due to the nature of open access to all users, some people misuse it to spread fake news to achieve individual or political goals. Some of them also post vulgar materials that make an embarrass situation for other bloggers. Even, sometimes it indulges the reputation of the victim. The only way to overcome this problem is to bring all the posts under supervision of the blog moderator. But it totally contradicts with blogging concepts. In this paper, we have implemented an algorithm that would help to prevent the offensive entries from being posted. These entries would go through a supervision process to justify themselves as legal posts. From the analysis of the result, we have shown that this approach can eliminate the chaotic situations in blogosphere at a great extent. Our experiment shows that about 90% of offensive posts can be detected and stopped from being published using this approach.
Pub.: 23 Jun '10, Pinned: 03 Mar '17
Abstract: Authors: Wafa Unus Article URL: http://www.tandfonline.com/doi/full/10.1080/19376529.2016.1224435?ai=2hc&mi=3h6tsq&af=R Citation: Journal of Radio & Audio Media Publication Date: 2016-10-27T02:52:11Z Journal: Journal of Radio & Audio Media
Pub.: 27 Oct '16, Pinned: 03 Mar '17
Abstract: Authors: Wilson Lowrey Article URL: http://www.tandfonline.com/doi/full/10.1080/1461670X.2015.1052537?ai=z4&mi=3fqos0&af=R Citation: Journalism Studies Publication Date: 2015-07-28T09:48:00Z Journal: Journalism Studies
Pub.: 28 Jul '15, Pinned: 03 Mar '17
Abstract: The results of the 2016 US presidential election and the UK vote to leave the European Union (Brexit) have raised questions about the influence of fake online news and social-media 'echo chambers' (see also P.WilliamsonNature540, 171;10.1038/540171a2016). The
Pub.: 21 Dec '16, Pinned: 03 Mar '17
Abstract: This paper reports on a writing style analysis of hyperpartisan (i.e., extremely one-sided) news in connection to fake news. It presents a large corpus of 1,627 articles that were manually fact-checked by professional journalists from BuzzFeed. The articles originated from 9 well-known political publishers, 3 each from the mainstream, the hyperpartisan left-wing, and the hyperpartisan right-wing. In sum, the corpus contains 299 fake news, 97% of which originated from hyperpartisan publishers. We propose and demonstrate a new way of assessing style similarity between text categories via Unmasking---a meta-learning approach originally devised for authorship verification---, revealing that the style of left-wing and right-wing news have a lot more in common than any of the two have with the mainstream. Furthermore, we show that hyperpartisan news can be discriminated well by its style from the mainstream (F1=0.78), as can be satire from both (F1=0.81). Unsurprisingly, style-based fake news detection does not live up to scratch (F1=0.46). Nevertheless, the former results are important to implement pre-screening for fake news detectors.
Pub.: 18 Feb '17, Pinned: 03 Mar '17
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