Finding and assessing social media information sources in the context of journalism

Abstract

Social media is already a fixture for reporting for many journalists, especially around breaking news events where non-professionals may already be on the scene to share an eyewitness report, photo, or video of the event. At the same time, the huge amount of content posted in conjunction with such events serves as a challenge to finding interesting and trustworthy sources in the din of the stream. In this paper we develop and investigate new methods for filtering and assessing the verity of sources found through social media by journalists. We take a human centered design approach to developing a system, SRSR ("Seriously Rapid Source Review"), informed by journalistic practices and knowledge of information production in events. We then used the system, together with a realistic reporting scenario, to evaluate the filtering and visual cue features that we developed. Our evaluation offers insights into social media information sourcing practices and challenges, and highlights the role technology can play in the solution.

Twitter News Credibility Meter

“…Sharma et al [2] developed a "who is who" service for twitter that could accurately infer user attributes and consequently could be effectively used to identify topical experts on twitter. The inference of attributes was mainly done using the Lists feature introduced by twitter for grouping together selective twitter users, thus enabling all the tweets posted by the group to be viewed in the List timeline Diakopoulous et al [3] designed an information tool for journalists called SRSR (Seriously Rapid Source Review). The application had the ability to search and assess users who could be classified as authentic information source for breaking news.…”

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].…”

“…Also for the social public can be like recommendation for news source. Prior work that introduced news curators role in twitter [1][2][3], the techniques used are data mining and machine learning. Data mining used for searching and processing data.…”

A Field Trial on Mobile Crowdsourcing of News Content Factors Influencing Participation

“…So far UGC has been most often used in "soft and good news" when professional journalism is used in hard and bad news [3]. In case of eyewitness news on breaking topics, such as riots, disasters, and accidents, newsrooms have started to use social media as an important source of material [4][5].…”