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عنوان فارسی مقاله:
بازتوییت فراتر از انتظار: استنباط جالب در توییتر
عنوان انگلیسی مقاله:
Retweeting beyond expectation: Inferring interestingness in Twitter
سال انتشار : 2016
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مقدمه انگلیسی مقاله:
1. Introduction
Microblogging services, with Twitter as a prime example, have facilitated a massive interconnection of the world over the past few years [1]. Twitter’s support of quick, short, and ‘real-time’ live content sharing amongst its millions of users allow vast amounts of information to be sent and received very quickly [2]. This has been helped by its growth into the mobile domain, allowing users to share text, photos, or videos directly from a news source or geographic location [3]. It has been especially useful in emergency situations worldwide, such as during the 2010 Haiti earthquake [4] and the 2011 Egyptian protests [5]. Unlike many other media, microblogging services such as Twitter are characterised by convenience and informality - messages are sizelimited, making them easy to consume, and may contain pictures and pointers to other web content. The streamed nature of tweets provides channels defined by other Twitter users, where users opt-in to receive content. These subscription relationships provide a social network structure through which content is mediated, with users being able to republish or “retweet” received messages as they wish. How-ever the ease with which content can be published results in a huge volume of potential content, much of this having limited relevance other than to a few users. A user’s ability to choose whose content they receive counters to some degree the “long-tail” problem of social media content [6]. However this can introduce noise, where the likelihood of generally uninteresting and mundane content begins to outweigh interesting content [7]. These issues mean that approaches to distinguishing interesting tweets from surrounding noise are valuable in reducing the cognitive burden for users. Identifying interesting tweets represents a form of recommendation system and there are a range of well-known strategies that can be adopted. However, the real-time nature of microblogging combined with limited text from which knowledge can be extracted, means that it is appropriate to look for new and efficient alternative approaches. In this paper we introduce, formally define and explore a new strategy to quantify the perceived “interestingness” of individual tweets. A brief initial exploration of the underlying approach was presented in [8] as a proof of concept. In comparison, this paper provides a complete specification of the model and necessary implementation details, formally validates the approach against collective and individual assessments of interestingness provided by human participants in a web experiment, and analyses the results to draw conclusions on potential applications.
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کلمات کلیدی:
Scholarly articles for Inferring interestingness in Twitter Finding interesting posts in twitter based on retweet … - Yang - Cited by 26 … beyond expectation: Inferring interestingness in Twitter - Webberley - Cited by 3 Inferring the interesting tweets in your network - Webberley - Cited by 3 Search Results Retweeting beyond expectation: Inferring interestingness in Twitter www.sciencedirect.com/science/article/pii/S0140366415002546 by WM Webberley - 2016 - Cited by 3 - Related articles Jul 17, 2015 - Online social networks such as Twitter have emerged as an important mechanism for individuals to share information and post user generated ... Retweeting beyond expectation: Inferring interestingness in Twitter ... orca.cf.ac.uk/75664 by W Webberley - 2015 - Cited by 3 - Related articles Feb 24, 2017 - Webberley, William, Allen, Stuart and Whitaker, Roger Marcus 2015. Retweeting beyond expectation: Inferring interestingness in Twitter. Retweeting beyond expectation: Inferring interestingness in Twitter ... https://www.semanticscholar.org/.../Retweeting...Inferring.../d803c5d8b45180af5493... Motivated by this problem , we develop a new automated mechanism to detect personalised interestingness, and investigate this for Twitter. Instead of ... Inferring the Interesting Tweets in Your Network - IEEE Xplore ieeexplore.ieee.org/iel7/6685965/6685991/06686092.pdf by W Webberley - 2013 - Cited by 3 - Related articles the level of interestingness. We show the results of our work in inferring which Tweets are interesting and validate the success of our scoring system in detecting ... Inferring the Interesting Tweets in Your Network - IEEE Xplore Document ieeexplore.ieee.org/document/6686092/ by W Webberley - 2013 - Cited by 3 - Related articles In this paper we introduce a method based on a Bayesian Network for inferring the relative interestingness of a Tweet based on its retweet history, including a ...
