Filters








357 Hits in 9.8 sec

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2015 World wide web (Bussum)  
In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating  ...  to be more important than relevance and participation for social media influence; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains  ...  service, and we propose a computational approach to measuring the correlation between expertise and social media influence.  ... 
doi:10.1007/s11280-015-0364-y fatcat:t7ah4js4gfd5pasa446aztkb6i

A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs

Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew Lin, Ji-Rong Wen
2014 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)  
In this paper, we propose a computational approach to measuring the correlation between expertise and social media influence, and we take a new perspective to understand social media influence by incorporating  ...  to be more important than relevance and participation for social media influence; (3) the audiences of top expertise celebrities are more likely to forward tweets on topics outside the expertise domains  ...  service, and we propose a computational approach to measuring the correlation between expertise and social media influence.  ... 
doi:10.1109/asonam.2014.6921626 dblp:conf/asunam/ZhaoLHLW14 fatcat:fccdcbev4rb2ddr3mrzjr7ina4

A persuasive eWOM model for increasing consumer engagement on social media: evidence from Irish fashion micro-influencers

Zheng Shen
2021 Journal of Research in Interactive Marketing  
Originality/value This study advances prior studies on the relationship between influencers' eWOM messages and consumer participation on social media by the development of a persuasive eWOM model of micro-influencers  ...  Findings The study finds that among the four types of micro-influencers, market mavens and their eWOM messages have the highest impact on consumer engagement on social media, and it presents a repetitive  ...  Fashion micro-influencers' types of expertise in microblogging have a positive impact on the eWOM persuasiveness for fashion consumer engagement on social media.  ... 
doi:10.1108/jrim-10-2019-0161 fatcat:n5f5hg4csjdz3ouj7fpydfrkpq

Identifying topical authorities in microblogs

Aditya Pal, Scott Counts
2011 Proceedings of the fourth ACM international conference on Web search and data mining - WSDM '11  
To address this, we first propose a set of features for characterizing social media authors, including both nodal and topical metrics.  ...  This diversity is a notable strength, but also presents the challenge of finding the most interesting and authoritative authors for any given topic.  ...  [21] proposed a measure called Z-score that combines the number of answers and questions given by a user to a single value in order to measure the relative expertise of a user.  ... 
doi:10.1145/1935826.1935843 dblp:conf/wsdm/PalC11 fatcat:lmxdvxsrhna3dbsjyrcast4pg4

Contributive Social Capital Extraction From Different Types of Online Data Sources [article]

Sebastian Schams, Georg Groh
2019 arXiv   pre-print
As there is no consensus in the literature on what the social capital of a person exactly consists of, we look at various related properties: expertise, reputation, trustworthiness, and influence.  ...  The discussion of these methods is intended to facilitate research on the topic by identifying relevant data sources and the best suited algorithms, and by providing tested methods for the evaluation of  ...  As seen on Twitter, there is a correlation between a user's centrality measure and their influence [29] .  ... 
arXiv:1902.07636v1 fatcat:n34kktfxrvarfkfzx34z2ywfdm

Information search and retrieval in microblogs

Miles Efron
2011 Journal of the American Society for Information Science and Technology  
While microblogging is increasingly popular, methods for organizing and providing access to microblog data are still new.  ...  Among these new media are so-called microblogs. A microblog is a stream of text that is written by an author over time.  ...  correlation between both friend-and follower-count and TunkRank exists 14 , but that popularity does not necessarily translate to strong influence as measured by TunkRank.  ... 
doi:10.1002/asi.21512 fatcat:iedkatt54za45moqb6g2ckaz5m

What Propels Celebrity Follower Counts? Language Use or Social Connectivity [article]

Jasabanta Patro, Rameshwar Bhaskaran, Animesh Mukherjee
2018 arXiv   pre-print
In this paper we investigate whether the social connectivity or the language choice is more correlated to the future follower count of a celebrity.  ...  Follower count is a factor that quantifies the popularity of celebrities. It is a reflection of their power, prestige and overall social reach.  ...  (Zhao et al. 2014 ) proposed a computational approach to measure the correlation between expertise and social media influence, for celebrities on microblogs. Kim et al.  ... 
arXiv:1811.07169v2 fatcat:linqk5bmqrc2fbzvp34erg7nb4

Towards Events Tweet Contextualization Using Social Influence Model and Users Conversations

Rami Belkaroui, Rim Faiz
2015 Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics - WIMS '15  
In this paper, we propose an approach for tweet contextualization task which combines different types of signals from social users interactions to provide automatically information that explains the tweet  ...  To evaluate our approach, we construct a reference summary by asking assessors to manually select the most informative tweets as a summary.  ...  Social Influence Measuring In Twitter microblog, the tweet of a user who has more followers always draw more attention, so they are evidently exists a correlation between tweet characteristics influence  ... 
doi:10.1145/2797115.2797134 dblp:conf/wims/BelkarouiF15 fatcat:dwmuauybhzgw5f56wq4647kl4m

Can consumers be persuaded on brand microblogs? An empirical study

Kem Z.K. Zhang, Stuart J. Barnes, Sesia J. Zhao, Hong Zhang
2018 Information & Management  
Highlights  This study examines whether consumers can be persuaded in brand microblogs.  We propose three persuasion factors that positively affect community commitment.  Perceived similarity and source  ...  credibility show bias effects on information quality.  ...  Acknowledgements The work described in this study was supported by grants from National Natural Science Foundation of China (No. 71671174, 71472172) and Fundamental Research Funds for the Central Universities  ... 
doi:10.1016/j.im.2017.03.005 fatcat:l6kxzqwo4jfnrhyrf2lw564fwq

An Approach for Time-aware Domain-based Social Influence Prediction [article]

Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
2020 arXiv   pre-print
Hence, there is a need for well comprehending of social trust to improve and expand the analysis process and inferring the credibility of SBD.  ...  One of the main reasons for acquiring the value of Social Big Data (SBD) is to provide frameworks and methodologies using which the credibility of OSNs users can be evaluated.  ...  Acknowledgements Authors would like to thank all reviewers for their insightful comments, which significantly improved the quality of this paper.  ... 
arXiv:2001.07838v1 fatcat:nrlng3rc7fe5bks6hkskoukwbu

Scalable topic-specific influence analysis on microblogs

Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, Junghoo Cho
2014 Proceedings of the 7th ACM international conference on Web search and data mining - WSDM '14  
Social influence analysis on microblogs, such as Twitter, has been playing a crucial role in online advertising and brand management.  ...  To address the limitations of the previous approaches, we propose a novel Followship-LDA (FLDA) model, which integrates both content topic discovery and social influence analysis in the same generative  ...  The rich text and social information in microblogs has become a popular resource for marketing campaigns to monitor the opinions of consumers on particular products and to launch viral advertising.  ... 
doi:10.1145/2556195.2556229 dblp:conf/wsdm/BiTSBC14 fatcat:z2n3wzvqvnahdayh7eqhdpdzym

Time-aware domain-based social influence prediction

Bilal Abu-Salih, Kit Yan Chan, Omar Al-Kadi, Marwan Al-Tawil, Pornpit Wongthongtham, Tomayess Issa, Heba Saadeh, Malak Al-Hassan, Bushra Bremie, Abdulaziz Albahlal
2020 Journal of Big Data  
Acknowledgements Authors would like to thank all reviewers for their insightful comments, which significantly improved the quality of this paper.  ...  The literature of trust in social media shows a lack of approaches for measuring domain-based trust.  ...  The literature of trust in social media shows a lack of approaches for measuring domainbased trust.  ... 
doi:10.1186/s40537-020-0283-3 fatcat:2gy4vgrtwrcn7br5c57ybrm2ym

# Living/minimum wage: Influential citizen talk in twitter

Nuria Lorenzo-Dus, Matteo Di Cristofaro
2016 Discourse, Context & Media  
; and (iv) a preference towards stance-taking acts that convey full confidence in one's views.  ...  Our analysis reveals that their discourse style is characterised by (i) limited content originality but a high participation rate; (ii) a continuum of thematic engagement; (iii) high levels of emotionality  ...  Furthermore, there is a positive correlation between the ability to establish one's social presence and an increase in social influence (Walvoord et al 2008) .  ... 
doi:10.1016/j.dcm.2016.02.003 fatcat:ogzlwahd25d2pk2t53ffk4jkju

Language agnostic meme-filtering for hashtag-based social network analysis

Dimitrios Kotsakos, Panos Sakkos, Ioannis Katakis, Dimitrios Gunopulos
2015 Social Network Analysis and Mining  
The proposed approach is evaluated on two large datasets of Twitter messages written in English and German.  ...  We argue that hashtags that are correlated with memes may hinder many valuable social media algorithms like trend detection and event identification.  ...  Acknowledgments The authors would like to thank the data annotators.  ... 
doi:10.1007/s13278-015-0271-3 fatcat:ddbvwmohbzhg7l43tcrhn56ikq

Tweeting is believing?

Meredith Ringel Morris, Scott Counts, Asta Roseway, Aaron Hoff, Julia Schwarz
2012 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work - CSCW '12  
We find a disparity between features users consider relevant to credibility assessment and those currently revealed by search engines.  ...  We propose design improvements for displaying social search results so as to better convey credibility.  ...  Consequently, in order to obtain a reasonably diverse sample of Twitter users for our survey, we advertised the survey in two venues: on an email list for social media users within Microsoft, and on a  ... 
doi:10.1145/2145204.2145274 dblp:conf/cscw/MorrisCRHS12 fatcat:dpyjezm7lzedninul73pxh4x2q
« Previous Showing results 1 — 15 out of 357 results