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Developing Multidimensional Scale for measuring Social Media Habit: A Nomological Examination in the Context of Cyberbullying

Gaurav Bansal, Dinesh Yadav
2021 Americas Conference on Information Systems  
Our paper develops a novel second-order multidimensional scale to measure SNS habit and tests its validity by examining it in a nomological network of SNS addiction and cyberbullying perpetration along  ...  Even though habit has been argued to be a multidimensional trait comprising of awareness, control, and efficiency, literature in IS has mostly measured SNS, and IT use habits using a unidimensional scale  ...  It develops a novel second-order multidimensional scale to measure social network site [SNS] habit adequately and tests its validity by examining it in a nomological network of SNS addiction and cyberbullying  ... 
dblp:conf/amcis/BansalY21 fatcat:ufww74s7yfbnlbheezf7kda4ui

Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment

Sinan Aral, Dylan Walker
2014 Management science  
This work presents some of the first large-scale in vivo experimental evidence investigating the social and structural moderators of peer influence in networks.  ...  The methods and results could enable more effective marketing strategies and social policy built around a new understanding of how social structure and peer influence spread behaviors in society.  ...  We conducted a randomized experiment measuring social influence in the adoption of a commercial application among 1.3 million users of the online social network  ... 
doi:10.1287/mnsc.2014.1936 fatcat:y2gibsjwwjfzpl5kx7xybaf7ue

Tie Strength, Embeddedness & Social Influence: Evidence from a Large Scale Networked Experiment

Sinan Aral, Dylan Walker
2013 Social Science Research Network  
Individuals experience a 0.6% increase in influence over their peers for each friend they share in common with that peer.  ...  This work presents some of the first large scale experimental evidence investigating the social and structural moderators of peer influence in networks.  ...  We conducted a randomized trial of social influence in the adoption of a commercial application amongst 1.3M users of the popular online social network  ... 
doi:10.2139/ssrn.2197972 fatcat:zusqqn5odngypjbuy2ptnz4h2i

Addressing barriers to physical activity among women: A feasibility study using social networking-enabled technology

Danielle Arigo, Leah M Schumacher, Emilie Pinkasavage, Meghan L Butryn
2015 Digital Health  
Objective: Automated physical activity (PA) monitoring technology and associated social networks have potential to address barriers to PA, but have rarely been tested for PA promotion.  ...  This technology may be especially beneficial for women, who experience particular barriers to health-based social networking.  ...  Acknowledgments We would like to thank Marie Colasanti, Stephanie Kerrigan, and Lindsay Martin for their assistance with intervention material preparation.  ... 
doi:10.1177/2055207615583564 pmid:29942539 pmcid:PMC5999060 fatcat:eduxzscxbjbgfebnm3hfyvknfy


2018 Issues in Information Systems  
Automation techniques allow bots to dodge security measures and distribute unsolicited information, often to the detriment of users of online social media platforms.  ...  In our study, we developed a bot-deployment process and investigated bot deployment, detection, and prevention on two social media platforms: Twitter and Reddit.  ...  Another research direction would be to investigate how skilled humans are at detecting automated accounts.  ... 
doi:10.48009/1_iis_2018_118-127 fatcat:3jq7kvx3wra6beda3yodfhcpf4

The strength of weak bots

Marijn A. Keijzer, Michael Mäs
2021 Online Social Networks and Media  
A B S T R A C T Some fear that social bots, automated accounts on online social networks, propagate falsehoods that can harm public opinion formation and democratic decision-making.  ...  A series of sensitivity analyses show that the finding is robust, in particular when the model is tailored to the context of online social networks.  ...  Acknowledgments We thank the Norms and Networks Cluster at the University of Groningen, in particular Andreas Flache, Dieko Bakker, Carlos de Matos Fernandes and Vincenz Frey, for their helpful feedback  ... 
doi:10.1016/j.osnem.2020.100106 fatcat:eq5dkqygfjcd7dtzyp66gyzcyq

Engineering online and in-person social networks to sustain physical activity: application of a conceptual model

Liza S Rovniak, James F Sallis, Jennifer L Kraschnewski, Christopher N Sciamanna, Elizabeth J Kiser, Chester A Ray, Vernon M Chinchilli, Ding Ding, Stephen A Matthews, Melissa Bopp, Daniel R George, Melbourne F Hovell
2013 BMC Public Health  
and in-person social-network interactions to expand networks for PA, plus provided evidence-based online walking program and weekly walking tips; WalkLink: evidence-based online walking program and weekly  ...  application of this model to the design and evaluation of a social network intervention for PA.  ...  We thank Connie Bechtel, BS, CSCS, NASM-CPT, Charity Sauder, MS, Erica Bates, BS, and Matthew Solovey for their assistance in conducting this study.  ... 
doi:10.1186/1471-2458-13-753 pmid:23945138 pmcid:PMC3844372 fatcat:rxdw4dsuufbctpmqtr2pzthxyy

Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning [article]

Zo Ahmed, Bertie Vidgen, Scott A. Hale
2021 arXiv   pre-print
This highlights the benefits of more effectively incorporating social network features in automated hateful user detection.  ...  Online hate is a growing concern on many social media platforms and other sites.  ...  This makes them impractical for use on most online social networks, where new users are added to the network in a continual stream.  ... 
arXiv:2103.11806v1 fatcat:et35xmiotzgjbfvdvd44yvzkai

Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning

Zo Ahmed, Bertie Vidgen, Scott A. Hale
2022 EPJ Data Science  
The system we present highlights the importance of effectively incorporating social network features in automated hateful user detection, raising new opportunities to improve how online hate is tackled  ...  We present a system for more accurately and fairly detecting hateful users by incorporating social network information through geometric deep learning.  ...  This makes them impractical for use on most online social networks, where new users are added to the network in a continual stream.  ... 
doi:10.1140/epjds/s13688-022-00319-9 fatcat:en24clvi6va4bgbubp2uoeejqa

Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network

Md. Amirul Islam, Linta Islam, Md. Mahmudul Hasan, Partho Ghose, Uzzal Kumar Acharjee, Md. Ashraf Kamal
2021 International Journal of Advanced Computer Science and Applications  
Friendship is one of the most important issues in online social networks (OSN). Researchers analyze the OSN to determine how people are connected to a network and how new connections are developed.  ...  Using network and profile similarity proposed approach can measure the similarity among the users.  ...  Online social networking encloses networking for business, pleasure, and all points in between users. Networks themselves have different objectives, and their online reproduction work in many ways.  ... 
doi:10.14569/ijacsa.2021.0120985 fatcat:sjzk5dgh7nev3gymt25lnsbk7e

Analyzing Social Media and Learning Through Content and Social Network Analysis: A Faceted Methodological Approach

Anatoliy Gruzd, Drew Paulin, Caroline Haythornthwaite
2016 Journal of Learning Analytics  
This research is supported through a five-year research initiative "Learning Analytics for the Social Media Age" funded by the Social Science and Humanities Research Council of Canada (2013Canada ( -2018  ...  in that course.  ...  Our experience in working with social media datasets leads us to advocate a semi-automated, multimethod approach for evaluating and understanding the observed and potential use of social media for teaching  ... 
doi:10.18608/jla.2016.33.4 fatcat:kec2bvtukbeifm667wakygaxu4

Facebook Diagnostics: Detection of Mental Health Problems Based on Online Traces

György Csepeli, Richárd Nagyfi
2014 European Journal of Mental Health  
Users of the social media network communicate with each other 24 hours a day. Their presence on Facebook leaves traces.  ...  Results of the analysis raise the possibility of the development of innovative methods for screening persons with mental problems among consumers and producers of online social media.  ...  network is measured.  ... 
doi:10.5708/ejmh.9.2014.2.5 fatcat:s7cdqqczmveqlanjqrge2w3tka

Unpacking the Social Media Bot: A Typology to Guide Research and Policy

Robert Gorwa, Douglas Guilbeault
2018 Policy & Internet  
In this article, we provide a history and typology of different types of bots, provide clear guidelines to better categorize political automation and unpack the impact that it can have on contemporary  ...  Amidst widespread reports of digital influence operations during major elections, policymakers, scholars, and journalists have become increasingly interested in the political impact of social media 'bots  ...  For example, Abokhodair et al. (2015: 840) define social bots as 'automated social agents' that generally act in ways that are not dissimilar to how a real human may act in an online space.  ... 
doi:10.1002/poi3.184 fatcat:ymzwkbatrfellowklkps3ox6wi

Cross-national comparison of two general population job exposure matrices for physical work exposures

Bradley Evanoff, Marcus Yung, Skye Buckner-Petty, Matthew Baca, Johan Hviid Andersen, Yves Roquelaure, Alexis Descatha, Ann Marie Dale
2019 Occupational and Environmental Medicine  
to high association and moderate to substantial agreement between the majority of variable pairs measuring similar exposures.  ...  We defined a priori 50 matched French and American JEM variable pairs that measured similar exposures.ResultsAll variable pairs measuring similar physical exposures demonstrated positive correlations.  ...  Reported job titles were assigned a four-digit Profession et Catégorie Sociale (PCS) job code through an automated coding system. 15 16 o produce reliable estimates, we required that each PCS job code  ... 
doi:10.1136/oemed-2018-105408 pmid:30894424 pmcid:PMC6703148 fatcat:kaz7sxbjfbfo3hdjijjg6u3wta

Troll Tweet Detection Using Contextualized Word Representations [article]

Seyhmus Yilmaz, Sultan Zavrak
2022 arXiv   pre-print
Due to the use of fake and automated accounts by businesses, abusers, and nation-state-sponsored troll farms, detecting and eliminating trolling is a crucial issue for social networking platforms.  ...  In recent years, numerous troll accounts that manipulate social media sentiment have emerged.  ...  social-networking information for various tasks.  ... 
arXiv:2207.08230v2 fatcat:wcezt6mcujdkbb6adecgb7idxu
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