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- research-articleSeptember 2023
A Centrality for Social Media Users Focusing on Information-Gathering Ability
HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social MediaSeptember 2023, Article No.: 32, Pages 1–9https://doi.org/10.1145/3603163.3609047In this paper, we propose a centrality metric for social media users that focuses on their information-gathering ability. Existing methods of rating users in social graphs focus on various aspects of users, such as popularity, influential power, and ...
- posterApril 2023
Measuring and Detecting Virality on Social Media: The Case of Twitter’s Viral Tweets Topic
WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023April 2023, Pages 314–317https://doi.org/10.1145/3543873.3587373Social media posts may go viral and reach large numbers of people within a short period of time. Such posts may threaten the public dialogue if they contain misleading content, making their early detection highly crucial. Previous works proposed their ...
- research-articleDecember 2021
An Empirical Study on the Motivations of Individuals’ Retweeting Intention on Sina Weibo
ICEBT '21: Proceedings of the 2021 5th International Conference on E-Education, E-Business and E-TechnologyJune 2021, Pages 42–47https://doi.org/10.1145/3474880.3474894Users’ retweeting behavior is critical to information dissemination on SNS and has obtained lots of attention from both academia and industry. Researcher have identified lots of factors that have a significant impact on individuals’ sharing behavior. ...
- articleJune 2019
Using retweets when shaping our online persona: topic modeling approach
MIS Quarterly (MISQ), Volume 43, Issue 2June 2019, Pages 501–524https://doi.org/10.25300/MISQ/2019/14346Theories of personal branding are built on the idea that each individual should be aware of the persona they present to the world. Nowadays, as social interactions are increasingly shifting to the online arena, users of social platforms are presented ...
- research-articleJuly 2017
Propagator or Influencer?: A Data-driven Approach for Evaluating Emotional Effect in Online Information Diffusion
ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017July 2017, Pages 836–843https://doi.org/10.1145/3110025.3116192Reposting is the basic and key behavior for information diffusion in online social networks. It would be beneficial to understand the influence factors of reposting behavior and predict future reposting status, which could be practically applied in ...
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- research-articleApril 2017
The Nature and Origin of Heavy Tails in Retweet Activity
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web CompanionApril 2017, Pages 1493–1498https://doi.org/10.1145/3041021.3053903Modern social media platforms facilitate the rapid spread of information online. Modelling phenomena such as social contagion and information diffusion are contingent upon a detailed understanding of the information-sharing processes. In Twitter, an ...
- ArticleAugust 2016
An analysis of influential users for predicting the popularity of news tweets
PRICAI'16: Proceedings of the 14th Pacific Rim International Conference on Trends in Artificial IntelligenceAugust 2016, Pages 306–318https://doi.org/10.1007/978-3-319-42911-3_26Twitter plays an important role in today social network. Its key mechanism is retweet that disseminates information to broad audiences within a very short time and help increases the popularity of the social content. Therefore, an effective model for ...
- research-articleApril 2016
Modeling a Retweet Network via an Adaptive Bayesian Approach
WWW '16: Proceedings of the 25th International Conference on World Wide WebApril 2016, Pages 459–469https://doi.org/10.1145/2872427.2882985Twitter (and similar microblogging services) has become a central nexus for discussion of the topics of the day. Twitter data contains rich content and structured information on users' topics of interest and behavior patterns. Correctly analyzing and ...
- research-articleNovember 2015
Negative Messages Spread Rapidly and Widely on Social Media
COSN '15: Proceedings of the 2015 ACM on Conference on Online Social NetworksNovember 2015, Pages 151–160https://doi.org/10.1145/2817946.2817962We investigate the relation between the sentiment of a message on social media and its virality, defined as the volume and the speed of message diffusion. We analyze 4.1 million messages (tweets) obtained from Twitter. Although factors affecting message ...
- research-articleApril 2015
Who Will Retweet This? Detecting Strangers from Twitter to Retweet Information
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 6, Issue 3Article No.: 31, Pages 1–25https://doi.org/10.1145/2700466There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in an emergency. However, existing work has not addressed how to actively ...
- ArticleDecember 2014
Retweet Behavior Prediction in Twitter
ISCID '14: Proceedings of the 2014 Seventh International Symposium on Computational Intelligence and Design - Volume 02December 2014, Pages 30–33https://doi.org/10.1109/ISCID.2014.187Retweet, as a main way to spread information in twitter, has been researched in a number of works. Recently research focuses on analyzing the factors of retweet behavior. However, the prediction on retweet behavior is a new challenge which is not well ...
- research-articleAugust 2014
Do neighbor buddies make a difference in reblog likelihood?: an analysis on SINA weibo data
ASONAM '14: Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningAugust 2014, Pages 208–215Reblogging, also known as retweeting in Twitter parlance, is a major type of activities in many online social networks. Although there are many studies on reblogging behaviors and potential applications, whether neighbors who are well connected with ...
- research-articleFebruary 2014
Who will retweet this?: Automatically Identifying and Engaging Strangers on Twitter to Spread Information
IUI '14: Proceedings of the 19th international conference on Intelligent User InterfacesFebruary 2014, Pages 247–256https://doi.org/10.1145/2557500.2557502There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in an emergency. However, existing work has not addressed how to actively ...
- research-articleMay 2013
Analyzing and predicting viral tweets
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebMay 2013, Pages 657–664https://doi.org/10.1145/2487788.2488017Twitter and other microblogging services have become indispensable sources of information in today's web. Understanding the main factors that make certain pieces of information spread quickly in these platforms can be decisive for the analysis of ...
- posterMay 2013
To follow or not to follow: a feature evaluation
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebMay 2013, Pages 59–60https://doi.org/10.1145/2487788.2487811The features available in Twitter provide meaningful information that can be harvested to provide a ranked list of followees to each user. We hypothesize that retweet and mention features can be further enriched by incorporating both temporal and ...
- research-articleFebruary 2013
Reorder user's tweets
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 4, Issue 1Article No.: 6, Pages 1–17https://doi.org/10.1145/2414425.2414431Twitter displays the tweets a user received in a reversed chronological order, which is not always the best choice. As Twitter is full of messages of very different qualities, many informative or relevant tweets might be flooded or displayed at the ...
- ArticleNovember 2012
Predicting retweet behavior in weibo social network
WISE'12: Proceedings of the 13th international conference on Web Information Systems EngineeringNovember 2012, Pages 737–743https://doi.org/10.1007/978-3-642-35063-4_60Retweeting ensures the information diffusion in micro-blog services. By this simple way, it is convenient for a user to share and spread interesting information in the whole network. In this paper, we consider many features to compute the probability ...
- research-articleOctober 2012
Who is Retweeting the Tweeters? Modeling, Originating, and Promoting Behaviors in the Twitter Network
ACM Transactions on Management Information Systems (TMIS), Volume 3, Issue 3Article No.: 13, Pages 1–30https://doi.org/10.1145/2361256.2361258Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal and lengthy messages, microbloggers prefer to frequently broadcast several short messages to be read by other ...
- research-articleJune 2012
Measuring node importance on Twitter microblogging
WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and SemanticsJune 2012, Article No.: 11, Pages 1–7https://doi.org/10.1145/2254129.2254145Social Networks (SN) are created whenever people interact with other people in online social networks, such as Twitter, Google+, Facebook and etc. Twitter is a social networking and micro-blogging service; it creates several new interesting social ...
- posterJune 2012
A qualitative analysis of information dissemination through twitter in a digital library
JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital LibrariesJune 2012, Pages 339–340https://doi.org/10.1145/2232817.2232880This study examines the use of Twitter in a digital library, the Internet Public Library (ipl2), to understand the content and dissemination patterns of Twitter messages posted by the ipl2. We conducted a content analysis on ipl2's messages on Twitter ...