Untangling between fake-news and truth in social media to understand the Covid-19 Coronavirus
暂无分享,去创建一个
[1] Marco Roccetti,et al. On the interpretation of the effects of the Infliximab treatment on Crohn’s disease patients from Facebook posts: a human vs. machine comparison , 2017, Network Modeling Analysis in Health Informatics and Bioinformatics.
[2] Marco Furini,et al. On using cashtags to predict companies stock trends , 2017, 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC).
[3] Marco Roccetti,et al. WWW recycling for a better world , 2010, CACM.
[4] Stefano Ferretti,et al. Diabetes: What Are Italian Twitter Users Talking About? , 2019, 2019 28th International Conference on Computer Communication and Networks (ICCCN).
[5] Marco Furini,et al. Sentiment analysis and Twitter: a game proposal , 2018, Personal and Ubiquitous Computing.
[6] Marco Furini,et al. Location privacy and public metadata in social media platforms: attitudes, behaviors and opinions , 2014, Multimedia Tools and Applications.
[7] Paola Salomoni,et al. On the Need of Trustworthy Sensing and Crowdsourcing for Urban Accessibility in Smart City , 2017, ACM Trans. Internet Techn..
[8] Lenny Grant,et al. Vaccination Persuasion Online: A Qualitative Study of Two Provaccine and Two Vaccine-Skeptical Websites , 2015, Journal of medical Internet research.
[9] James Davis,et al. Journal Club: Twitter as a source of vaccination information: content drivers and what they're saying. , 2013, American journal of infection control.
[10] Catia Prandi,et al. Privacy Perception when Using Smartphone Applications , 2020, Mob. Networks Appl..
[11] Filippo Menczer,et al. Fact-checking Effect on Viral Hoaxes: A Model of Misinformation Spread in Social Networks , 2015, WWW.
[12] Marco Roccetti,et al. Patients Reactions to Non-Invasive and Invasive Prenatal Tests: A Machine-Based Analysis from Reddit Posts , 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
[13] Marco Furini,et al. On improving the engagement between viewers and TV commercials through gamification , 2019, Multimedia Systems.
[14] Marco Furini,et al. Public Health and Social Media: Language Analysis of Vaccine Conversations , 2018, 2018 International Workshop on Social Sensing (SocialSens).
[15] W. Grant,et al. Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths , 2020, Nutrients.
[16] Marco Furini,et al. TSentiment: On gamifying Twitter sentiment analysis , 2016, 2016 IEEE Symposium on Computers and Communication (ISCC).
[17] Pier Luigi Lopalco,et al. The web and public confidence in MMR vaccination in Italy. , 2017, Vaccine.
[18] Franz Gravenhorst,et al. Exploring the link between behaviour and health , 2015, Personal and Ubiquitous Computing.
[19] Mark Dredze,et al. How Social Media Will Change Public Health , 2012, IEEE Intelligent Systems.
[20] Ryen W. White,et al. Captions and biases in diagnostic search , 2013, TWEB.
[21] M. Roccetti,et al. Riding the Web Evolution: From Egoism to Altruism , 2008, 2008 5th IEEE Consumer Communications and Networking Conference.
[22] Paola Salomoni,et al. Trustworthiness in crowd- sensed and sourced georeferenced data , 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).
[23] Stefano Ferretti,et al. On helping broadcasters to promote TV-shows through hashtags , 2018, Multimedia Tools and Applications.
[24] Marco Furini,et al. TRank: Ranking Twitter users according to specific topics , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).
[25] Kraig Finstad,et al. Response interpolation and scale sensitivity: evidence against 5-point scales , 2010 .
[26] Marco Furini,et al. IoT Healthcare: Benefits, Issues and Challenges , 2019, GOODTECHS.