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An Exploratory Study of COVID-19 Misinformation on Twitter [article]

Gautam Kishore Shahi and Anne Dirkson and Tim A. Majchrzak
2020 arXiv   pre-print
We have conducted an exploratory study into the propagation, authors and content of misinformation on Twitter around the topic of COVID-19 in order to gain early insights.  ...  Exploratory analysis of author accounts revealed that the verified twitter handle(including Organisation/celebrity) are also involved in either creating (new tweets) or spreading (retweet) the misinformation  ...  We thus conduct an exploratory analysis into (1) the Twitter accounts behind COVID-19 misinformation, (2) the propagation of COVID-19 misinformation on Twitter, and (3) the content of incorrect claims  ... 
arXiv:2005.05710v2 fatcat:fgh6mqriejc3nlujyz3i5sqvsa

What Are People Tweeting about Zika? An Exploratory Study Concerning Symptoms, Treatment, Transmission, and Prevention [article]

Michele Miller, Dr. Tanvi Banerjee, RoopTeja Muppalla, Dr. William Romine, Dr. Amit Sheth
2017 arXiv   pre-print
Five topics for each category were found and discussed with a focus on the symptoms category.  ...  A combination of natural language processing and machine learning techniques were used to determine what people are tweeting about Zika.  ...  In this study we conduct an exploratory analysis of finding the subcategories of discussion topics from Zika related tweets; specifically in four key characteristics of Zika: symptoms, transmission, treatment  ... 
arXiv:1701.07490v1 fatcat:ciktfsedv5asnbyalaqqqoxcwe

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention

Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth
2017 JMIR Public Health and Surveillance  
Conclusions: We demonstrate how categories of discussion on Twitter about an epidemic can be discovered so that public health officials can understand specific societal concerns within the disease-specific  ...  Future studies can capture sentiments and opinions on epidemic outbreaks like Zika virus in real time, which will likely inform efforts to educate the public at large.  ...  In this study, an exploratory analysis focused on finding important subcategories of discussion topics from Zika-related tweets was performed.  ... 
doi:10.2196/publichealth.7157 pmid:28630032 pmcid:PMC5495967 fatcat:yub5zou4affzvl6hvums7l6sgm

Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter [article]

Philipp Wicke, Marianna M. Bolognesi
2020 arXiv   pre-print
We hereby present an analysis of the discourse around #Covid-19, based on a corpus of 200k tweets posted on Twitter during March and April 2020.  ...  Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus.  ...  Methods General design of the 3 studies In Study 1 we explored the range of topics addressed in the discourse on Covid-19 on Twitter. To do so, we used a topic modelling technique.  ... 
arXiv:2004.06986v1 fatcat:ng2edi6gmfgbjlhza6mx36dbsu

Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter

Philipp Wicke, Marianna M. Bolognesi, Panos Athanasopoulos
2020 PLoS ONE  
We hereby present an analysis of the discourse around #Covid-19, based on a large corpus tweets posted on Twitter during March and April 2020.  ...  Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus.  ...  Study design To address our three research questions, first we explored the range of topics addressed in the discourse on Covid-19 on Twitter using a topic modelling technique.  ... 
doi:10.1371/journal.pone.0240010 pmid:32997720 fatcat:riyaseyylbdu7ipklvgcrogzca

Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time

Philipp Wicke, Marianna M. Bolognesi
2021 Frontiers in Communication  
This paper provides an extensive explorative analysis of how the discourse about Covid-19 reported on Twitter changes through time, focusing on the first wave of this pandemic.  ...  Based on an extensive corpus of tweets (produced between 20th March and 1st July 2020) first we show how the topics associated with the development of the pandemic changed through time, using topic modeling  ...  ACKNOWLEDGMENTS The authors would like to thank Johannes Wiesner and Christian Burgers for their advice on statistical analysis.  ... 
doi:10.3389/fcomm.2021.651997 fatcat:7ihvkyjnzvelvgrdx5upyg47jy

Pedagogical Demonstration of Twitter Data Analysis: A Case Study of World AIDS Day, 2014

Isaac Chun-Hai Fung, Jingjing Yin, Keisha D. Pressley, Carmen H. Duke, Chen Mo, Hai Liang, King-Wa Fu, Zion Tsz Ho Tse, Su-I Hou
2019 Data  
This study examined if Twitter users from countries with various income levels responded differently to World AIDS Day.  ...  As a pedagogical demonstration of Twitter data analysis, a case study of HIV/AIDS-related tweets around World AIDS Day, 2014, was presented.  ...  Discussion This case study serves as a pedagogical demonstration of how public health graduate students could be taught statistical and text mining techniques for analyzing Twitter data.  ... 
doi:10.3390/data4020084 fatcat:a4liael4wff3rnn4kenyh4foqa

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Michele Miller, William Romine, Terry Oroszi
2021 JMIR Public Health and Surveillance  
Objective The objective of this study was to detect discussions on anthrax-related events and to determine the relevance of the tweets and topics of discussion over 12 months of data collection.  ...  Social media allows researchers to study opinions and reactions to events in real time. One area needing more study is anthrax-related events.  ...  We would also like to thank Dr Tanvi Banerjee for consultation on machine learning and Dr Dawn Wooley for her suggestions on the manuscript. Conflicts of Interest None declared.  ... 
doi:10.2196/27976 pmid:34142975 fatcat:6imuu4rzs5afrl7a4as6mpqxi4

Twitter and Research: A Systematic Literature Review Through Text Mining

Amir Karami, Morgan Lundy, Frank Webb, Yogesh K. Dwivedi.
2020 IEEE Access  
This study systematically mines a large number of Twitter-based studies to characterize the relevant literature by an efficient and effective approach.  ...  Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers.  ...  Text mining techniques can provide exploratory analysis to detect semantic patterns [33] .  ... 
doi:10.1109/access.2020.2983656 fatcat:3ifo6czjifai7pfpro3bnu7p5a

An exploratory study of COVID-19 misinformation on Twitter

Gautam Kishore Shahi, Anne Dirkson, Tim A Majchrzak
2021
We have conducted an exploratory study into the propagation, authors and content of misinformation on Twitter around the topic of COVID-19 in order to gain early insights.  ...  Exploratory analysis of author accounts revealed that the verified twitter handle(including Organisation/celebrity) are also involved in either creating(new tweets) or spreading(retweet) the misinformation  ...  We thus conduct an exploratory analysis into (1) the Twitter accounts behind COVID-19 misinformation, (2) the propagation of COVID-19 misinformation on Twitter, and (3) the content of incorrect claims  ... 
doi:10.1016/j.osnem.2020.100104 pmid:33623836 pmcid:PMC7893249 fatcat:ykq4vcf5e5a4lik6e2vaiwyqy4

Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter [article]

Sarah Alqurashi, Btool Hamoui, Abdulaziz Alashaikh, Ahmad Alhindi, Eisa Alanazi
2021 arXiv   pre-print
Therefore, there is an urgent need for fact-checking and effective techniques for detecting misinformation in social media. In this work, we study the misinformation in the Arabic content of Twitter.  ...  Majchrzak, “An exploratory study of covid-19 misinformation on twitter,” arXiv preprint arXiv:2005.05710, 2020. [31] L. McQuillan, E. McAweeney, A. Bargar, and A.  ...  Another study in [37] deploys machine learning techniques on Twitter misinfor- mation using ensemble techniques based on user level and tweet level features.  ... 
arXiv:2101.05626v1 fatcat:h6kavqsze5axla5r7wuc6ixj7q

Discovering explanatory models to identify relevant tweets on Zika

Roopteja Muppalla, Michele Miller, Tanvi Banerjee, William Romine
2017 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  
Zika virus has caught the worlds attention, and has led people to share their opinions and concerns on social media like Twitter.  ...  Moreover, key features were identified that provide deeper insights on the content of tweets relevant to Zika.  ...  Recently, we performed an exploratory study using Zika related tweets to determine what people were tweeting about Zika [8] . Tweets were collected over a period of 2 months.  ... 
doi:10.1109/embc.2017.8037044 pmid:29060089 dblp:conf/embc/MuppallaMBR17 fatcat:4ui3jb34mbf33pi2z6c52rtm3e

Predicting COVID-19 incidence using Google Trends and data mining techniques: A pilot study in Iran (Preprint)

Seyed Mohammad Ayyoubzadeh, Seyed Mehdi Ayyoubzadeh, Hoda Zahedi, Mahnaz Ahmadi, Sharareh R. Niakan Kalhori
2020 JMIR Public Health and Surveillance  
The Linear Regression model predicts the incidence with an RMSE of 7.562 ± 6.492.  ...  This study is aimed to predict the incidence of COVID-19 in Iran. The data is obtained from the Google Trend website.  ...  In 2017, McGough et al [14] also proposed a Zika virus prediction system by using Zika-related Google searches, Twitter microblogs, and a digital surveillance system.  ... 
doi:10.2196/18828 pmid:32234709 fatcat:rzpqhwikxfhadiusq42see2lru

Computational Intelligence-Based Model for Exploring Individual Perception on SARS-CoV-2 Vaccine in Saudi Arabia

Irfan Ullah Khan, Nida Aslam, Sara Chrouf, Israa Atef, Ikram Merah, Latifah AlMulhim, Raghad AlShuaifan, Shawkat ali
2022 Computational Intelligence and Neuroscience  
Vaccination is an effective way to combat this virus and prevent its spreading among individuals.  ...  The primary objective of this study is to analyse the public awareness and opinion toward the vaccination process and to develop a model that predicts the awareness and acceptability of SARS-CoV-2 vaccines  ...  the society's opinion about any topic than to form a new one; 86% of users who discussed pseudoscientific claims about the Zika vaccine have discussed the vaccination earlier in 2015 and 19% of them delivered  ... 
doi:10.1155/2022/6722427 pmid:35401714 pmcid:PMC8984742 fatcat:h7jpqda52vg2rdqcswkdalru6m

Big data analytics as a tool for fighting pandemics: a systematic review of literature

Alana Corsi, Fabiane Florencio de Souza, Regina Negri Pagani, João Luiz Kovaleski
2020 Journal of Ambient Intelligence and Humanized Computing  
Big Data, as well as Big Data Analytics techniques, have been addressed in this context with the possibility of predicting, mapping, tracking, monitoring, and raising awareness about these epidemics and  ...  The most common techniques for analyzing these data involve the use of statistics, such as correlation and regression, combined with other techniques.  ...  Acknowledgements The present study was carried out with support from the Higher Education Personnel Improvement Coordination-Brazil (CAPES)-Financing Code 001.  ... 
doi:10.1007/s12652-020-02617-4 pmid:33144892 pmcid:PMC7595572 fatcat:d3scrjy7qbe3jfycfzd3ynztj4
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