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Jean Burgess, Axel Bruns
2012 Journalism Practice  
This paper draws on a larger study of the uses of Australian user-created content and online social networks to examine the relationships between professional journalists and highly engaged Australian  ...  users of political media within the wider media ecology, with a particular focus on Twitter.  ...  Acknowledgement This research on which this paper is based was undertaken as part of the Australian Research Council-funded project New Media and Public Communication: Mapping User-Created Content in Online  ... 
doi:10.1080/17512786.2012.663610 fatcat:r2ujeuaiwng35gi7xkp2b44yl4

Characterization of the twitter @replies network

Daniel Sousa, Luís Sarmento, Eduarda Mendes Rodrigues
2010 Proceedings of the 2nd international workshop on Search and mining user-generated contents - SMUC '10  
This paper presents an analysis of the users' interactions in the implicit network derived from tweet replies of a specific dataset obtained from a popular microblogging service, Twitter 1 .  ...  We analyze the influence of the topics of the tweet messages on the interaction among users, to determine if the social aspect prevails over the topic in the moment of interaction.  ...  CONCLUSIONS AND FUTURE WORK In this paper we have presented a study of users' interactions through an analysis of the Twitter @replies network, using a dataset consisting of Twitter messages from Portugal  ... 
doi:10.1145/1871985.1871996 dblp:conf/cikm/SousaSR10 fatcat:7zc5rvqqp5dyzkvw4ol5b3jyia

Debating Poverty Porn on Twitter

Phil Brooker, John Vines, Selina Sutton, Julie Barnett, Tom Feltwell, Shaun Lawson
2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems - CHI '15  
as a site of everyday socio-political talk and debate.  ...  We contribute to the developing HCI literature on how social media intersects with political and civic engagement and specifically highlight the ways in which Twitter interacts with other forms of media  ...  ACKNOWLEDGEMENTS Parts of this research were funded by the UK Economic and Social Research Council (ESRC) Project ES/M003574/1 "CuRAtOR: Challenging online feaR And OtheRing".  ... 
doi:10.1145/2702123.2702291 dblp:conf/chi/BrookerVSBFL15 fatcat:wgcarcgbn5dopaxu2l2pbnjudy

Promoção turística no Twitter

Verónica Altamirano-Benítez, José Miguel Túñez-López, María Fabiana Altamirano-Benítez
2020 Revista Comunicação e Sociedade  
O Twitter é uma das redes sociais mais influentes no âmbito comercial, devido à quantidade de conversações que produz em torno das marcas, acrescentando valor à sua imagem e influenciando as decisões de  ...  Este trabalho investiga a presença dos governos ibero-americanos no Twitter, bem como a sua interação com os turistas 2.0.  ...  Twitter as a platform for public relations 2.0 Twitter is a free platform that allows the creation and publication of content on the web.  ... 
doi:10.17231/comsoc.0(2020).2749 fatcat:zqw255ko4ffthlxosoqko3dqqe

Characterizing debate performance via aggregated twitter sentiment

Nicholas A. Diakopoulos, David A. Shamma
2010 Proceedings of the 28th international conference on Human factors in computing systems - CHI '10  
We demonstrate visuals and metrics that can be used to detect sentiment pulse, anomalies in that pulse, and indications of controversial topics that can be used to inform the design of visual analytic  ...  We looked at one such event, the first U.S. presidential debate in 2008, in conjunction with aggregated ratings of message sentiment from Twitter.  ...  They found users of micro-blogging systems to engage in a higher social reciprocity as measured by a publish-to-subscribe ratio. Krishnamurthy et al.  ... 
doi:10.1145/1753326.1753504 dblp:conf/chi/DiakopoulosS10 fatcat:i72z2nd6qbb53dyfhut6gaj5gq

Earlybird: Real-Time Search at Twitter

Michael Busch, Krishna Gade, Brian Larson, Patrick Lok, Samuel Luckenbill, Jimmy Lin
2012 2012 IEEE 28th International Conference on Data Engineering  
These demands are met with a single-writer, multiple-reader concurrency model and the targeted use of memory barriers.  ...  Earlybird represents a point in the design space of real-time search engines that has worked well for Twitter's needs.  ...  Thanks also goes out to Jeff Dalton, Donald Metzler, and Ian Soboroff for comments on earlier drafts of this paper.  ... 
doi:10.1109/icde.2012.149 dblp:conf/icde/BuschGLLLL12 fatcat:bmbfnesddndz7jy3buunnhz72i

Unfolding the event landscape on twitter

Munmun De Choudhury, Nicholas Diakopoulos, Mor Naaman
2012 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work - CSCW '12  
Exploration of the user categories on a range of events shows distinctive characteristics in terms of the proportion of each user type, as well as differences in the nature of content each shared around  ...  In this paper, we take initial steps towards building an automatic classifier for user types on Twitter, focusing on three core user categories that are reflective of the information production and consumption  ...  ACKNOWLEDGMENTS This work was supported by a Google Research Award, and by the National Science Foundation under award IIS-1017845.  ... 
doi:10.1145/2145204.2145242 dblp:conf/cscw/ChoudhuryDN12 fatcat:onehkv3tnje2tcntnn2ymqufte

People Still Care About Facts: Twitter Users Engage More with Factual Discourse than Misinformation–A Comparison Between COVID and General Narratives on Twitter [article]

Mirela Silva, Fabrício Ceschin, Prakash Shrestha, Christopher Brant, Shlok Gilda, Juliana Fernandes, Catia S. Silva, André Grégio, Daniela Oliveira, Luiz Giovanini
2021 arXiv   pre-print
In this paper, we focus on COVID-19 misinformation and examine a subset of 2.1M tweets to understand misinformation as a function of engagement, tweet content (COVID-19- vs. non-COVID-19-related), and  ...  The public has grown aware of the role of social media as a superspreader of untrustworthy information, where even pandemics have not been immune.  ...  Users Engage More with Factual Discourse than Misinformation-A Comparison Between COVID and General Narratives on Twitter  ... 
arXiv:2012.02164v3 fatcat:fxitpvvpkvb2xnykxlcqu47f5a

Ephemeral Astroturfing Attacks: The Case of Fake Twitter Trends [article]

Tuğrulcan Elmas, Rebekah Overdorf, Ahmed Furkan Özkalay, Karl Aberer
2021 arXiv   pre-print
In this attack, a chosen keyword or topic is artificially promoted by coordinated and inauthentic activity to appear popular, and, crucially, this activity is removed as part of the attack.  ...  We uncover a previously unknown, ongoing astroturfing attack on the popularity mechanisms of social media platforms: ephemeral astroturfing attacks.  ...  We use entropy as a proxy to show existence of such bursts of activity in a small time window.  ... 
arXiv:1910.07783v4 fatcat:fxcl2yklpndrjme3pni6kpsjju

Twitter Usage in Indonesia

Kathleen M. Carley, Momin Malik, Mike Kowalchuck, Juergen Pfeffer, Peter Landwehr
2015 Social Science Research Network  
Herein we examine the use of a particular social media, Twitter, and assess its value for disaster management with a focus on planning and early warnings.  ...  Our focus is Indonesia, and the potential use of Twitter to support tsunami warning and response.  ...  This work was supported in part by the National Science Foundation 00361150115291 with support for Twitter analysis of Indonesia and the Office of Naval Research N00014140737 with support for CMU social  ... 
doi:10.2139/ssrn.2720332 fatcat:6y34fk63arairixmvpnrvwftw4

IRA Propaganda on Twitter

Johan Farkas, Marco Bastos
2018 Proceedings of the 9th International Conference on Social Media and Society - SMSociety '18  
The results show that the IRA operates a composite of user accounts tailored to perform specific tasks, with the lion's share of their work focusing on US daily news activity and the diffusion of polarized  ...  Tweets were annotated using 19 control variables to investigate whether IRA operations on social media are consistent with classic propaganda models.  ...  The study relies on a list of 2752 deleted Twitter accounts that was handed over to the US Congress by Twitter on 31 October 2017 as part of investigations into Russia's meddling in the 2016 US elections  ... 
doi:10.1145/3217804.3217929 dblp:conf/smsociety/FarkasB18 fatcat:nhlnzmmtovc6dhtw7vhuiulxzm

Analyzing Large-Scale Public Campaigns on Twitter [chapter]

Julia Proskurnia, Ruslan Mavlyutov, Roman Prokofyev, Karl Aberer, Philippe Cudré-Mauroux
2016 Lecture Notes in Computer Science  
Finally, we explore the influence of active users on the overall campaign flow.  ...  We propose a generic framework to identify both the type of a given campaign as well as the various actions undertaken throughout its lifespan: official meetings, physical actions, calls for action, publications  ...  This is due to some users trying to promote a tweet into a trending topic on Twitter.  ... 
doi:10.1007/978-3-319-47874-6_16 fatcat:esl32eaeqfg75kebt7xm2s5e3i

Variation across Scales: Measurement Fidelity under Twitter Data Sampling [article]

Siqi Wu, Marian-Andrei Rizoiu, Lexing Xie
2020 arXiv   pre-print
For Twitter entities such as users, we find the Bernoulli process with a uniform rate approximates the empirical distributions well.  ...  For retweet cascades, we observe changes in distributions of tweet inter-arrival time and user influence, which will affect models that rely on these features.  ...  Marian-Andrei Rizoiu's time is partially supported by a Facebook content policy award.  ... 
arXiv:2003.09557v3 fatcat:oyca3rugorby5isxld3djo4p5q

Discovery and classification of Twitter bots [article]

Alexander Shevtsov Alexander Shevtsov, Maria Oikonomidou, Despoina Antonakaki, Polyvios Pratikakis, Alexandros Kanterakis, Sotiris Ioannidis, Paraskevi Fragopoulou
2020 arXiv   pre-print
We analyze statistical differences between bot accounts and human users, as well as botnet interaction with user communities and Twitter trending topics.  ...  We analyzed a dense crawl of a subset of Twitter traffic, amounting to nearly all interactions by Greek-speaking Twitter users for a period of 36 months.  ...  A large part of the related literature focuses on detection of bot accounts, based on attributes such as content, patterns of activity and relations to other users.  ... 
arXiv:2010.15393v1 fatcat:ic5utu2ocvfytfy653qjvbrvey

Large-scale high-precision topic modeling on twitter

Shuang-Hong Yang, Alek Kolcz, Andy Schlaikjer, Pankaj Gupta
2014 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14  
We are interested in organizing a continuous stream of sparse and noisy texts, known as "tweets", in real time into an ontology of hundreds of topics with measurable and stringently high precision.  ...  We present a spectrum of topic modeling techniques that contribute to a deployed system.  ...  We would like to thank our interns Ramnath Balasubramanyan, Mitja Trampus, Naftali Harris and Will Landecker, and the other members on the user modeling team especially Matthew Bilotti, Jake Manix, Praveen  ... 
doi:10.1145/2623330.2623336 dblp:conf/kdd/YangKSG14 fatcat:ejt5xjwi3raujnardxfrpr4i7q
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