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Identifying and analyzing researchers on twitter

Asmelash Teka Hadgu, Robert Jäschke
2014 Proceedings of the 2014 ACM conference on Web science - WebSci '14  
To gain first insights into how researchers use Twitter, we empirically analyze the identified users and compare their age, popularity, influence, and social network.  ...  In this paper we present an approach to identify Twitter accounts of researchers and demonstrate its utility for the discipline of computer science.  ...  ACKNOWLEDGEMENTS This work was performed in the context of the Leibniz Research Alliance 'Science 2.0'. 22  ... 
doi:10.1145/2615569.2615676 dblp:conf/websci/HadguJ14 fatcat:3wa7azxyujfddig52c7uu7txxq

Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter

Amir Karami, Morgan Lundy, Frank Webb, Gabrielle Turner-McGrievy, Brooke W. McKeever, Robert McKeever
2021 International Journal of Environmental Research and Public Health  
The goal of this study is to identify and analyze the breadth of health topics discussed by left (liberal) and right (conservative) Russian trolls on Twitter.  ...  This study can be beneficial for researchers who are interested in political disinformation and health monitoring, communication, and promotion on social media by showing health information shared by Russian  ...  Discussion We aimed to identify and characterize the prevalence of health disinformation shared on social media by liberal and conservative Russian trolls on Twitter.  ... 
doi:10.3390/ijerph18042159 pmid:33672122 pmcid:PMC7927016 fatcat:ihl6fizyybdmri3v5efe4dphnu

Identifying Influential Users of College Sports Teams' Social Media Accounts
대학스포츠팀 SNS의 영향력 있는 사용자의 분석

Suk-Kyu Kim, Jae-Ahm Park, Stephen W. Dittmore
2015 Journal of the Korea Academia-Industrial cooperation Society  
This study tried to identify the influential users of college sports teams' Twitter accounts and categorize them into three groups including an official account, media account, and layperson account.  ...  The results provided the insight of college sports online social network and will expand the growing literature on social media in sport and offer practical data for marketers to use social media more  ...  They focused on the Big Ten Conference football teams' Twitter accounts. A total of 139 users were identified and analyzed from teams' Twitter accounts.  ... 
doi:10.5762/kais.2015.16.2.1016 fatcat:gnvvcscbvrc7ncba54jknbjczi

An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data

Enrico Steiger, João Porto de Albuquerque, Alexander Zipf
2015 Transactions on GIS  
social network Twitter.  ...  The objective of this paper is to conduct a systematic literature review that provides an overview of the current state of research concerning methods and application for spatiotemporal analyses of the  ...  Spatiotemporal analyses of Twitter data -Systematic Literature Review  ... 
doi:10.1111/tgis.12132 fatcat:zfxu7rzev5fohl2ug42valw3ca

Twitter Users' Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis

Natasha Chilman, Nicola Morant, Brynmor Lloyd-Evans, Jane Wackett, Sonia Johnson
2021 JMIR Mental Health  
We aim to identify the similarities and differences among views expressed on Twitter compared with interviews and focus groups.  ...  Analyzing Twitter posts enables rapid access to how issues and experiences are socially shared and constructed among communities of health service users and providers, in ways that traditional qualitative  ...  The views expressed are those of the authors and not necessarily those of the NHS or National Institute for Health Research.  ... 
doi:10.2196/25742 pmid:34185017 fatcat:hevegc2kdzebnao4bcrgqyyuba

Analysis of sentiment in twitter using logistic regression

Rayasam Lakshmi, Satya R. B. Divya, R Valarmathi
2018 International Journal of Engineering & Technology  
The main objective of this research is to identify the sentiment of a tweet in twitter and also further analyse a twitter accounts activity.  ...  The datasets are extracted from twitter and split into training and testing data using which the model is trained to classify the sentiments of a tweet and then the analysis of a twitter account is done  ...  Analyzing the twitter account1) The twitter account which is identified of expressing violence via tweets is analyzed. 2) The particular twitter accounts source of creation of the tweets is identified  ... 
doi:10.14419/ijet.v7i2.33.14849 fatcat:c5xy4se32zdixbtbqacssbzdka

Social Networks Mining and Analysis of Specific Groups (Political and Regional) by using API

Farhan Khan, Saqib Saqib, Pireh Soomro, Asif Laghari, Kamran Memon
2018 EAI Endorsed Transactions on Scalable Information Systems  
In this research paper, we focused on tweets related to the politicians and communities based on hashtags like #Syria #Weapons #Terrorist, etc. to identify the linkages of the user who are talking about  ...  People have informal conversations on social media sites (Twitter, Facebook, etc) that shed light on the current issues around the world -opinions, and concerns about the learning process.  ...  The main purpose behind all this is to predict the future rather than just to analyze the situation. This research paper aims to identify political groups and predict the future.  ... 
doi:10.4108/eai.13-7-2018.163574 fatcat:3aqktbd7nzfmblbsudpi6gioc4

Twitter and Health in the Australian Context: What Types of Information Are Health-Related Organizations Tweeting?

Dan Dumbrell, Robert Steele
2013 2013 46th Hawaii International Conference on System Sciences  
In this paper a sample of 114 Australian health-related organizations' Twitter accounts were identified, that matched inclusion criteria of a significant number of followers and activity.  ...  There has been a rapid uptake of the use of online social networking services, and more recently their usage for health-related communication is also being researched and trialed.  ...  From the Twitter feeds of these accounts, 4,787 tweets from the month of February 2012 were identified, and this was the set of tweets we analyzed and categorized based on health condition (table 2) and  ... 
doi:10.1109/hicss.2013.578 dblp:conf/hicss/DumbrellS13 fatcat:n4ngtg7zm5elrptie3qjemfvju

What are Urban Planning Academics Talking About on Twitter?

Thomas W. Sanchez
2021 Findings  
Acknowledgement The author would like to thank Ziqian (Alice) Song for her assistance with Twitter data acquisition. What are Urban Planning Academics Talking About on Twitter? Findings  ...  Tweet topics were identified by analyzing hashtags and tweet text, but not images, weblinks, or mentions.  ...  Therefore it is difficult to identify them. This is a topic for future research.  ... 
doi:10.32866/001c.23716 fatcat:wxjacfxxinhrbkhwyrwweifxea

Faking Sandy

Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, Anupam Joshi
2013 Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion  
We identified 10,350 unique tweets containing fake images that were circulated on Twitter, during Hurricane Sandy.  ...  Our results, showed that, automated techniques can be used in identifying real images from fake images posted on Twitter.  ...  Now, we discuss some of the research work done to assess, characterize, analyze and compute trust and credibility of content on online social media.  ... 
doi:10.1145/2487788.2488033 dblp:conf/www/0003LKJ13 fatcat:jj2tifeljjdprc4lk4demkispq

Hate Expression Found on Twitter as a Response to Meghan Markle

Auranissa Putri Riyadisty, Endang Fauziati
2022 Indonesian Journal of English Language Studies (IJELS)  
This study's purposes are to identify the categories of hate expressions, identify the strategies of hate expression, and describe the functions of hate expression used by Twitter users toward Meghan Markle  ...  The data were Twitter replies that contained hate towards Meghan Markle. This study used Mondal et al. (2017), Culpeper (1996), and Bebee (1995) theory for analyzing the data.  ...  However, the writer focuses solely on analyzing the speech act in this research.  ... 
doi:10.24071/ijels.v8i1.4421 fatcat:5doijzc3nbc3bherxelqd2peca

Analysis of Twitter research trends based on SLR

Ilkyu Ha, Hohwan Park, Chonggun Kim
2014 16th International Conference on Advanced Communication Technology  
The five most popular resource sites are selected to collect Twitter-related literature and the 106 papers selected based on SLR are analyzed to study interesting trends in Twitter research.  ...  For effective research on Twitter, an investigation of academic research papers related with Twitter will be required in order to analyze research trends.  ...  ACKNOWLEDGMENT This work has been funded by the BK21+ program of the National Research Foundation (NRF) of Korea.  ... 
doi:10.1109/icact.2014.6779067 fatcat:o3bqri54g5a2bfopaosvn6wz2u

Mapping social media attention in Microbiology: Identifying main topics and actors [article]

Nicolas Robinson-Garcia, Wenceslao Arroyo-Machado, Daniel Torres-Salinas
2019 arXiv   pre-print
This paper aims to map and identify topics of interest within the field of Microbiology and identify the main sources driving such attention.  ...  We focus on the dissemination of microbial publications in Twitter, news media and policy briefs. A two-mode network of social accounts shows distinctive areas of activity.  ...  Acknowledgements The authors are grateful to Lydia Robinson-Garcia from the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences for assessing on the description and interpretation  ... 
arXiv:1904.00646v1 fatcat:bobcql7o5bdynmnnjkef5nqbsa

Framing of and Attention to COVID-19 on Twitter: A Thematic Analysis of Hashtags (Preprint)

Iman Tahamtan, Devendra Potnis, Ehsan Mohammadi, Laura E. Miller, Vandana Singh
2021 Journal of Medical Internet Research  
This study identified the frames about the COVID-19 pandemic in the public discourse on Twitter, which voices diverse opinions.  ...  This study contributes to framing theory and research by demonstrating how trending hashtags can be used as new user-generated data to identify frames on social media.  ...  Research Objectives The aim of this research was to (1) identify the frames associated with the COVID-19 pandemic in public discourse on Twitter and ( 2 ) analyze which of the COVID-19 frames in public  ... 
doi:10.2196/30800 pmid:34406961 fatcat:6l7yz6sxmnhj5ghcm2l3lcwgqi

Detecting Indicators for Startup Business Success: Sentiment Analysis Using Text Data Mining

Jose Ramon Saura, Pedro Palos-Sanchez, Antonio Grilo
2019 Sustainability  
hashtag on Twitter (n = 35.401 tweets).  ...  The main aim of this study is to identify the key factors in User Generated Content (UGC) on the Twitter social network for the creation of successful startups, as well as to identify factors for sustainable  ...  This research study identified the main topics for the success of a startup and also the main factors by analyzing the feelings detected in the UGC on Twitter.  ... 
doi:10.3390/su11030917 fatcat:wxphunbltnavxkekpf5v3rqi4y
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