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Topic

Microblogging

About: Microblogging is a research topic. Over the lifetime, 4186 publications have been published within this topic receiving 137030 citations. The topic is also known as: microblog.


Papers
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Proceedings ArticleDOI
23 Feb 2013
TL;DR: The complex mechanism of credibility perceptions is revealed, several key differences in how users from each country critically consume microblog content are identified, and how to incorporate these findings into the design of improved user interfaces for accessing microblogs in different cultural settings are discussed.
Abstract: Microblogs have become an increasingly important source of information, both in the U.S. (Twitter) and in China (Weibo). However, the brevity of microblog updates, combined with increasing access of microblog content through search rather than through direct network connections, makes it challenging to assess the credibility of news relayed in this manner [34]. This paper reports on experimental and survey data that compare the impact of several features of microblog updates (author's gender, name style, profile image, location, and degree of network overlap with the reader) on credibility perceptions among U.S. and Chinese audiences. We reveal the complex mechanism of credibility perceptions, identify several key differences in how users from each country critically consume microblog content, and discuss how to incorporate these findings into the design of improved user interfaces for accessing microblogs in different cultural settings.

63 citations

Journal ArticleDOI
TL;DR: This article investigated the role of tweets in the 2012 US Republican presidential primary election and found that tweets were more reactive rather than predictive, while the sentiment and frequency of candidate-related tweets was related to campaign success and offline success at the ballot box.
Abstract: The popular microblogging social media platform Twitter has been prominently covered in the press for its perceived role in activism, disaster recovery, and elections amongst other things. In the case of elections, Twitter has been used actively by candidates and voters alike in a diverse range of elections around the world including the 2010 UK elections, the 2012 US presidential elections, and the 2013 Italian elections. However, Twitter has often been found to be a poor predictor of electoral success. This article investigates what role tweets play during elections and whether they are more reactive than predictive. Using the specific case of the 2012 US Republican presidential primary elections, this article explores how candidate's Twitter presence affects electoral outcomes and whether the sentiment and frequency of candidate-related tweets is related to campaign success and offline success at the ballot box. This study finds that tweets were more reactive rather than predictive. Additionally, senti...

63 citations

Journal ArticleDOI
TL;DR: The results show that the sarcasm detection task benefits from the inclusion of features which capture authorial style of the microblog authors, namely - function words and part of speech n-grams.

62 citations

Proceedings ArticleDOI
13 May 2013
TL;DR: The results prove that semantic features which are extracted by the framework can boost the performance of detecting duplicates, and put into practice by integrating it into Twinder, a search engine for Twitter streams.
Abstract: With more than 340~million messages that are posted on Twitter every day, the amount of duplicate content as well as the demand for appropriate duplicate detection mechanisms is increasing tremendously. Yet there exists little research that aims at detecting near-duplicate content on microblogging platforms. We investigate the problem of near-duplicate detection on Twitter and introduce a framework that analyzes the tweets by comparing (i) syntactical characteristics, (ii) semantic similarity, and (iii) contextual information. Our framework provides different duplicate detection strategies that, among others, make use of external Web resources which are referenced from microposts. Machine learning is exploited in order to learn patterns that help identifying duplicate content. We put our duplicate detection framework into practice by integrating it into Twinder, a search engine for Twitter streams. An in-depth analysis shows that it allows Twinder to diversify search results and improve the quality of Twitter search. We conduct extensive experiments in which we (1) evaluate the quality of different strategies for detecting duplicates, (2) analyze the impact of various features on duplicate detection, (3) investigate the quality of strategies that classify to what exact level two microposts can be considered as duplicates and (4) optimize the process of identifying duplicate content on Twitter. Our results prove that semantic features which are extracted by our framework can boost the performance of detecting duplicates.

62 citations

Journal Article
TL;DR: This research applied a mixed-method design to explore how best to promote learning in authentic contexts in an online graduate course in instructional message design and found that the students appropriately applied the design principles and design terms in their critique of design examples.
Abstract: This research applied a mixed-method design to explore how best to promote learning in authentic contexts in an online graduate course in instructional message design. The students used Twitter apps on their mobile devices to collect, share, and comment on authentic design examples found in their daily lives. The data sources included tweets (i.e., postings on Twitter), students’ perceptions about mobile microblogging activities, and self-reported Twitter usage. Based on the tweet analysis, we found that the students appropriately applied the design principles and design terms in their critique of design examples. While the students were mainly engaged in assignment-relevant activities, they spontaneously generated social tweets as they related peers’ authentic design examples to their own life experiences. Overall, they had positive perceptions toward the mobile microblogging activities. The students also indicated that the design examples shared by peers through mobile microblogging inspired their own message design work. We synthesized instructional design suggestions and challenges for educators interested in incorporating mobile microblogging in their instructional settings.

62 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023202
2022551
2021153
2020238
2019226
2018282