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Information architecture for social media: a case study on building an event backchannel with Twitter

Robert L. Moore
2014 International Journal of Social Media and Interactive Learning Environments  
This paper presents a case study on creating a backchannel through Twitter for the live event, featuring the Secretary of the US Navy, hosted by the School of Government.  ...  It outlines how the adaptation of best practices from the general population's use of Twitter in creating a backchannel for an educational event.  ...  students) for their invaluable assistance on this project and production of this paper.  ... 
doi:10.1504/ijsmile.2014.059690 fatcat:u2rjoz6wqzewpf6rkzymly3uve

Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter [article]

Hemant Purohit , Valerie L. Shalin Ohio Center of Excellence in Knowledge-enabled Computing, Wright State University, USA, Department of Computer Science and Engineering, United Nations Population Fund Headquarters NYC, USA)
2015 arXiv   pre-print
In this study, we examine big (social) data consisting of nearly fourteen million tweets collected from Twitter over a period of ten months to analyze public opinion regarding GBV, highlighting the nature  ...  We demonstrate the utility of Computational Social Science to mine insight from the corpus while accounting for the influence of both transient events and sociocultural factors.  ...  National Science Foundation Social-Computational Systems (SoCS) program for grant IIS-1111182 'Social Media Enhanced Organizational Sensemaking in Emergency Response' for our study.  ... 
arXiv:1503.02086v2 fatcat:qy6dnsuf7jbtjaj2u7pjn6w43e

Gender-based violence in 140 characters or fewer: A #BigData case study of Twitter

Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit Sheth
2016 First Monday  
In this study, we examine big (social) data consisting of nearly fourteen million tweets collected from Twitter over a period of ten months to analyze public opinion regarding GBV, highlighting the nature  ...  We demonstrate the utility of Computational Social Science to mine insight from the corpus while accounting for the influence of both transient events and sociocultural factors.  ...  We used the keyword-based crawlers (data collectors) of our Twitris platform (Nagarajan et al. 2009 , where the Twitter Streaming API provides the relevant tweets for a given set of keywords.  ... 
doi:10.5210/fm.v21i1.6148 fatcat:f2ofl7rll5gcbhqlvbt7m7hi6m

Identifying diffusion patterns of research articles on Twitter: A case study of online engagement with open access articles

Juan Pablo Alperin, Charles J Gomez, Stefanie Haustein
2018 Public Understanding of Science  
We explore a new method for answering this question by identifying 11 articles from two open access biology journals that were shared on Twitter at least 50 times and analyzing the follower network of  ...  Our small case study suggests that most articles are shared within single connected communities with limited diffusion to the public.  ...  case for Biol1 in our case study (cf.  ... 
doi:10.1177/0963662518761733 pmid:29607775 fatcat:tjlpm4yjx5hctds2z4ns5x3l7q

Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA

Xiaodong Cao, Piers MacNaughton, Zhengyi Deng, Jie Yin, Xi Zhang, Joseph Allen
2018 International Journal of Environmental Research and Public Health  
Twitter provides a rich database of spatiotemporal information about users who broadcast their real-time opinions, sentiment, and activities.  ...  A multivariate linear mixed-effects model was used to quantify the fixed effects of land use and the time period on the variations in sentiment scores, considering the clustering effect of users.  ...  Acknowledgments: We thank the anonymous peer reviewers for their excellent comments that have enhanced the manuscript.  ... 
doi:10.3390/ijerph15020250 pmid:29393869 pmcid:PMC5858319 fatcat:grwwy56pczaohjgfmkwui6zwqa

Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide

Dmytro Karamshuk, Frances Shaw, Julie Brownlie, Nishanth Sastry
2017 Online Social Networks and Media  
To show the promise of this approach, we attempt to create a nuanced categorisation of responses on Twitter to several recent high profile deaths by suicide.  ...  This paper sets out to bridge the gap by developing semi-automated replacements for manual coding through a mixture of crowdsourcing and machine learning, seeded by the development of a careful manual  ...  Acknowledgements The "A Shared Space and A Space for Sharing" project (Grant no.  ... 
doi:10.1016/j.osnem.2017.01.002 fatcat:ursrlajqgrcarhlqegicoa3ywy

The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to "Nature-Deficit Disorder"

Marco Palomino, Tim Taylor, Ayse Göker, John Isaacs, Sara Warber
2016 International Journal of Environmental Research and Public Health  
To the best of our knowledge, no previous study of this kind on this subject has been carried out, though this has potential to help to understand the relevance of NDD and related nature-health concepts  ...  Analysis of Twitter data using hashtags relevant to the concept of NDD suggests there are significant differences in the way that messages associated to certain hashtags are framed.  ...  likely contribute to the negative sentiment analysis for this category. The other categories are largely made up of positive words, descriptive of the positive experiences in nature.  ... 
doi:10.3390/ijerph13010142 pmid:26797628 pmcid:PMC4730533 fatcat:dox7payevvc5zmn7ms53ntry3m

The Concept of "Visual Product" Concerning the Transformation of the Subject "Galatasaray-Neuchâtel Xamax Match" into an Object through Speculative thinking via the Storability Properties of the Sports Viewing Product Services

A. Kepoğlu, K. Erdem
2017 International Journal of Advanced engineering Management and Science  
The subject of discourse of this study is a posteriori concepts, because the concept of "visual product" can be achieved by the method of induction, utilising observation and experience.  ...  Within the scope of this descriptive scanning method, a theoretical-analytical method has been used focusing on the relevant body of literature.  ...  The subject of discourse of this study is a posteriori concepts, because the concept of "visual product" can be achieved by the method of induction, utilising observation and experience.  ... 
doi:10.24001/ijaems.3.9.1 fatcat:ibckrg4vp5cnrpekuzs5j53myq

A customisable pipeline for the semi-automated discovery of online activists and social campaigns on Twitter

Flavio Primo, Alexander Romanovsky, Rafael de Mello, Alessandro Garcia, Paolo Missier
2021 World wide web (Bussum)  
Multiple iterations of the pipeline result in a growing dataset of user profiles for activists, as well as growing set of online social contexts.  ...  We present an empirical evaluation on two extensive case studies, one concerning healthcare-related campaigns in the UK during 2018, the other related to online activism in Italy during the COVID-19 pandemic  ...  To view a copy of this licence, visit  ... 
doi:10.1007/s11280-021-00887-2 pmid:34131389 pmcid:PMC8192275 fatcat:sqt72hqntfa5tkwjemmyrg7iv4

Identification and Analysis of Strawberries' Consumer Opinions on Twitter for Marketing Purposes

Juan D. Borrero, Alberto Zabalo
2021 Agronomy  
This paper reveals the potential of strawberry-related Twitter data for conducting berry consumer studies, useful in increasing the competitiveness of the berry sector and filling an important gap in the  ...  The challenge in that particular field of study is to create a Digital Agriculture that help the agri-food sector grow in a fair, competitive environment.  ...  Material and Methods In this study, social tags (hashtags in Twitter) are analyzed, which serve as mechanisms for the semantic unification of concepts within a social network [56, 57] , as Twitter is  ... 
doi:10.3390/agronomy11040809 fatcat:llkn255firhevcdkxmacdnlo2i

Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter

Gael Pérez-Rodríguez, Martín Pérez-Pérez, Florentino Fdez-Riverola, Anália Lourenço
2020 Future generations computer systems  
The results produced in this study show the effectiveness of the proposed method to discover useful and non-trivial knowledge about patient perceptions of disease.  ...  Therefore, the present work proposes a new methodology of analysis to identify and interpret the behaviour, perceptions and appreciations of patients and close relatives towards a health condition through  ...  Acknowledgements SING group thanks CITI (Centro de Investigación, Transferencia e Innovación) from the University of Vigo for hosting its IT infrastructure.  ... 
doi:10.1016/j.future.2020.04.025 fatcat:4xa3bvcw3rcornoju5lmav55w4

Facts and Fabrications about Ebola: A Twitter Based Study [article]

Janani Kalyanam, Sumithra Velupillai, Son Doan, Mike Conway, Gert Lanckriet
2015 arXiv   pre-print
It is a well known convention on Twitter to use hashtags to give context to a Twitter message (a tweet).  ...  From a public health standpoint, the spread of misinformation creates unnecessary panic for the public. We recently witnessed several such scenarios during the outbreak of Ebola in 2014 [14, 1].  ...  For example, [5] study postpartum depression from Facebook data, [13] study the effects of newer tobacco products from Twitter feeds.  ... 
arXiv:1508.02079v1 fatcat:6u7qaizzazagpfhqm36qjk4q44

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

Dimitrios Kotsakos, Panos Sakkos, Ioannis Katakis, Dimitrios Gunopulos
2015 Social Network Analysis and Mining  
Users in social networks utilize hashtags for a variety of reasons. In many cases hashtags serve retrieval purposes by labeling the content they accompany.  ...  A proof-of-concept application of the meme-filtering approach to the problem of event detection is presented.  ...  This work has been co-financed by EU and Greek National funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) -Research Funding Programs  ... 
doi:10.1007/s13278-015-0271-3 fatcat:ddbvwmohbzhg7l43tcrhn56ikq

On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs

Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Saptarshi Ghosh, Krishna P. Gummadi
2016 Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing - CSCW '16  
Using our methodology, we implemented and publicly deployed a topical news system for Twitter, which can extract news-stories on thousands of topics.  ...  Comparing the crowd-based and expert-based methodologies, we demonstrate that the news-stories obtained by our methodology (i) have higher relevance for a wide variety of topics, (ii) achieve very high  ...  This research was supported in part by a grant from the Indo-German Max Planck Centre for Computer Science (IMPECS). Additionally, P.  ... 
doi:10.1145/2818048.2819968 dblp:conf/cscw/ZafarBGGG16 fatcat:4zlgagiv45ftbb7ujcsjdwygta

Twitter K-H networks in action: Advancing biomedical literature for drug search

Ahmed Abdeen Hamed, Xindong Wu, Robert Erickson, Tamer Fandy
2015 Journal of Biomedical Informatics  
In this paper, we present a network mining approach that provides a bridge for linking and searching drug-related literature.  ...  The importance of searching biomedical literature for drug interaction and side-effects is apparent.  ...  Luis Rocha of Indiana University, Center of complex Networks and Systems Research for the valuable feedback on linking drugs to MeSH.  ... 
doi:10.1016/j.jbi.2015.05.015 pmid:26065982 fatcat:qkfy2dglc5gt3pzhrrrgbsx4eu
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