Finding news curators in twitter

Abstract

Users interact with online news in many ways, one of them being sharing content through online social networking sites such as Twitter. There is a small but important group of users that devote a substantial amount of effort and care to this activity. These users monitor a large variety of sources on a topic or around a story, carefully select interesting material on this topic, and disseminate it to an interested audience ranging from thousands to millions. These users are news curators, and are the main subject of study of this paper. We adopt the perspective of a journalist or news editor who wants to discover news curators among the audience engaged with a news site.We look at the users who shared a news story on Twitter and attempt to identify news curators who may provide more information related to that story. In this paper we describe how to find this specific class of curators, which we refer to as news story curators. Hence, we proceed to compute a set of features for each user, and demonstrate that they can be used to automatically find relevant curators among the audience of two large news organizations.

Giving Computers a Nose for News

“…The transparency and accountability of SocialSensor's selection mechanism-based on social media contributors' popularity, productivity, and ability to engage-has considerable merit. More importantly, we know that the current selection mechanism does actually work, because, as our experiments have confirmed, there appears to be a log-normal distribution of people who disseminate news (see also Hindman [2008] and Lehmann et al [2013]). The results of the SocialSensor project confirm some of the "contradictions of convergence" (Murdock and Golding 2002, 111): specifically, how social media amplifies and concentrates existing trends in news as much as it enlarges the discourse.…”

A Framework for Classifying Indonesian News Curator in Twitter

“…In this era, there was various social media development, from text-based post, image-based post or mixed content-based post. The instance is twitter [1][2][3]. Twitter is one of social network that was first launched in July 2006 by Jack Dorsey and now days used by many people in the world.…”

“…The instance, research in twitter could be like sentiment knowledge discovery analysis [4], determining trust scope attributes using goodness of fit test for Indonesian user [5], built framework for classifying the user or text in certain object [6][7][8][9] or twitter could be research object for helping journalist and news editor in the news development [1][2][3].…”

“…Based on survey [1], 613 journalists over 16 countries reveal that 54% of them using social media (include twitter) for looking the other side of news article development. By the increasing engagement user from journalist and news editor, it increased the number of news crowds by time period in twitter.…”

“…Another function of twitter from journalist-side or news editor, it was place for knowing user that interested in following, spreading the URL, giving self-opinion or giving feedback of recent popular articles. This role defined as news curator in twitter [1]. News curators consist of two kind of user.…”