Timothy Graham

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Robert AcklandAustralian National Universityanu.edu.au의 이메일 확인됨
Paul HenmanUniversity of Queenslanduq.edu.au의 이메일 확인됨
Marian-Andrei RIZOIUUniversity of Technology Sydneyuts.edu.au의 이메일 확인됨
Naomi SmithFederation University Australiafederation.edu.au의 이메일 확인됨
Philip GillinghamUniversity of Queenslanduq.edu.au의 이메일 확인됨
Rui ZhangThe Australian National University & CSIRO, AUanu.edu.au의 이메일 확인됨
Lexing XieAustralian National Universityanu.edu.au의 이메일 확인됨
Peter ChristenLeibniz Visiting Professor, University of Leipzig; and Professor, Australian National Universityanu.edu.au의 이메일 확인됨
Dongwoo KimPOSTECHpostech.ac.kr의 이메일 확인됨
Axel BrunsARC Future Fellow and Professor, Digital Media Research Centre, Queensland University of Technologyqut.edu.au의 이메일 확인됨
STEVEN ROBERTSAssociate Professor of Sociology, School of Social Sciences, Faculty of Arts, Monash Universitymonash.edu의 이메일 확인됨
Senuri WijenayakePhD Candidate, School of Computing and Information Systems, The University of Melbournestudent.unimelb.edu.au의 이메일 확인됨
Tobias R. Kellergfs.berngfsbern.ch의 이메일 확인됨
Daniel AngusAssociate Professor in Digital Communication, Queensland University of Technologyqut.edu.au의 이메일 확인됨
Thilina RanbadugeResearch fellow, Australian National Universityanu.edu.au의 이메일 확인됨
toni makkaiaustralian national universityanu.edu.au의 이메일 확인됨
Richard WortleyUCL & University of Waikatoucl.ac.uk의 이메일 확인됨
Darren HalpinProfessor, Australian National Universityanu.edu.au의 이메일 확인됨
Kerry TaylorProfessor of Computer Science, Australian National Universityacm.org의 이메일 확인됨
Bert FraussenAssistant Professor, Leiden Universityfgga.leidenuniv.nl의 이메일 확인됨

Timothy Graham

Queensland University of Technology

qut.edu.au의 이메일 확인됨 - 홈페이지

information disorder social bots social network analysis platform studies computational social science


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Mapping the antivaccination movement on Facebook N Smith, T Graham Information, Communication and Society, 2018	115	2018
# debatenight: The role and influence of socialbots on twitter during the 1st 2016 us presidential debate MA Rizoiu, T Graham, R Zhang, Y Zhang, R Ackland, L Xie Proceedings of the International AAAI Conference on Web and Social Media 12 (1), 2018	49*	2018
Big Data in Social Welfare: The Development of a Critical Perspective on Social Work's Latest 'Electronic Turn' P Gillingham, T Graham Australian Social Work, 1-13, 2016	47	2016
Designing electronic information systems for the future: Social workers and the challenge of New Public Management P Gillingham, T Graham Critical Social Policy 35 (5), 2015	36	2015
Assessing the risk of domestic violence recidivism R Fitzgerald, T Graham Crime and Justice Bulletin 189, 1-12, 2016	20	2016
Analysing user identity via time-sensitive semantic edit distance (t-SED): a case study of Russian trolls on Twitter D Kim, T Graham, Z Wan, MA Rizoiu Journal of Computational Social Science 2 (2), 331-351, 2019	19*	2019
A Decision Tree Approach to Predicting Recidivism in Domestic Violence S Wijenayake, T Graham, P Christen The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), 2018	16	2018
Platforms and hyper-choice on the World Wide Web T Graham Big Data & Society, 2018	16	2018
Do socialbots dream of popping the filter bubble? The role of socialbots in promoting deliberative democracy in social media T Graham, R Ackland Gehl, RW/Bakardjieva, M.(Hg.): Socialbots and Their Friends. Digital Media …, 2017	14*	2017
Affording choice: how website designs create and constrain ‘choice’ T Graham, P Henman Information, Communication & Society 22 (13), 2007-2023, 2019	9	2019
Like a virus: The coordinated spread of Coronavirus disinformation T Graham, A Bruns, G Zhu, R Campbell The Australia Institute, 2020	8	2020
Topic Modeling of Tweets in R: A Tutorial and Methodology T Graham, R Ackland https://www.academia.edu/19255535 …, 2015	7	2015
Bushfires, bots and arson claims: Australia flung in the global disinformation spotlight T Graham, TR Keller The Conversation 10, 2020	6	2020
Towards a ‘smart’cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions M Manning, GTW Wong, T Graham, T Ranbaduge, P Christen, K Taylor, ... Crime science 7 (1), 1-13, 2018	5	2018
Assessing the prominence of interest groups in parliament: a supervised machine learning approach B Fraussen, T Graham, DR Halpin The Journal of Legislative Studies 24 (4), 450-474, 2018	5	2018
Trade-offs in algorithmic risk assessment: An Australian domestic violence case study D McNamara, T Graham, E Broad, CS Ong Good data, 96, 2019	4	2019
SocialMediaLab: Tools for Collecting Social Media Data and Generating Networks for Analysis T Graham, R Ackland https://cran.r-project.org/web/packages/SocialMediaLab/SocialMediaLab.pdf, 2016	4	2016
Technologies of choice: The shaping of choice on the World Wide Web T Graham The University of Queensland, 2016	4	2016
Networks of Communities and Communities of Networks in Online Government P Henman, R Ackland, T Graham Electronic Journal of e-Government 12 (2), 2014	4	2014
Social Policy on the web: The Online Institutional Structure of Social Policy Domains in the UK P Henman, R Ackland, T Graham The 14th European Conference on e-Government: ECEG2014, 126, 2014	4	2014

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