8,423 research outputs found

    Is That Twitter Hashtag Worth Reading

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    Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the social media to avoid information explosion. In case of Twitter, popular information can be tracked using hashtags. Studying the characteristics of tweets containing hashtags becomes important for a number of tasks, such as breaking news detection, personalized message recommendation, friends recommendation, and sentiment analysis among others. In this paper, we have analyzed Twitter data based on trending hashtags, which is widely used nowadays. We have used event based hashtags to know users' thoughts on those events and to decide whether the rest of the users might find it interesting or not. We have used topic modeling, which reveals the hidden thematic structure of the documents (tweets in this case) in addition to sentiment analysis in exploring and summarizing the content of the documents. A technique to find the interestingness of event based twitter hashtag and the associated sentiment has been proposed. The proposed technique helps twitter follower to read, relevant and interesting hashtag.Comment: 10 pages, 6 figures, Presented at the Third International Symposium on Women in Computing and Informatics (WCI-2015

    Ventures in Social Media

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    Academic libraries are actively involved in social media platforms as part of their campus communities. They have moved past the debate of whether to participate in social media and are focusing on strategies to develop engaging content and assessment of their efforts. Social media use in the campus classroom continues to grow with more faculty using social media in academic context. Given the widespread adoption of social media on the University of San Diego campus Copley Library formed a Social Media Committee (SMC) to manage the library’s social media presence with a mission to promoting the library’s services and events. After establishing Facebook and Twitter accounts the committee looked to expand their presence on other platforms. To determine which social media platforms undergraduates were using, the committee designed and administered a survey in the fall of 2013. The survey confirmed that USD undergraduates were still using Facebook and showed 56% now use multiple social media sites: Twitter, Pinterest, Tumblr, and Instagram. The SMC diversified onto Instagram and Pinterest platforms to interact with students on visual platforms.Ye

    City Magazines and Social Media: Moving beyond the Monthly

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    City magazines have long been established in many American locales, but digital media of all types are now offering opportunities and challenges to this genre of magazine. Digital media have also complicated the rapidly changing ecosystems of local information in which urban citizens reside. The resources and popularity of newspapers and broadcast news have shifted, and other forms of print, digital, and mobile media are assuming important roles in informing the public. With all these factors at work, this may be a pivotal moment for city magazines as they explore innovative technology, creative business strategies, and the new possibilities for coverage that these offer. As part of a larger, multi-method project, this study analyzes to what degree city magazines are using Twitter to move beyond a monthly publication schedule, to activate and engage audiences in new ways, and to address local topics and concerns. This study reveals that city magazines are informing the public and engaging their audiences through social media in limited but promising ways. It also strongly suggests that these magazines may indeed be using technology to move beyond their traditional monthly publication schedule and become a more vibrant part of local audiences’ information environment

    Mathematical Modeling of Trending Topics on Twitter

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    Created in 2006, Twitter is an online social networking service in which users share and read 140-character messages called Tweets. The site has approximately 288 million monthly active users who produce about 500 million Tweets per day. This study applies dynamical and statistical modeling strategies to quantify the spread of information on Twitter. Parameter estimates for the rates of infection and recovery are obtained using Bayesian Markov Chain Monte Carlo (MCMC) methods. The methodological strategy employed is an extension of techniques traditionally used in an epidemiological and biomedical context (particularly in the spread of infectious disease). This study, which addresses information spread, presents case studies pertaining to the prevalence of several “trending” topics on Twitter over time. The study introduces a framework to compare information dynamics on Twitter based on the topical area as well as a framework for the prediction of topic prevalence. Additionally, methodological and results-based comparisons are drawn between the spread of information and the spread of infectious disease

    Book review: Mob Rule Learning

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    Mob Rule Learning: Camps, Unconferences and Trashing the Talking Head. By Michelle Boule, Medford: Cyber Age Books, 2011, paperback ISBN 978-0-910965-92-7, 230 pages
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