Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Machine behaviour

I Rahwan, M Cebrian, N Obradovich, J Bongard… - Nature, 2019 - nature.com
Abstract Machines powered by artificial intelligence increasingly mediate our social, cultural,
economic and political interactions. Understanding the behaviour of artificial intelligence …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

[HTML][HTML] Bots and misinformation spread on social media: Implications for COVID-19

MK Himelein-Wachowiak, S Giorgi, A Devoto… - Journal of medical …, 2021 - jmir.org
As of March 2021, the SARS-CoV-2 virus has been responsible for over 115 million cases of
COVID-19 worldwide, resulting in over 2.5 million deaths. As the virus spread exponentially …

[HTML][HTML] Conversational agents: Goals, technologies, vision and challenges

M Allouch, A Azaria, R Azoulay - Sensors, 2021 - mdpi.com
In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

The predictive power of public Twitter sentiment for forecasting cryptocurrency prices

O Kraaijeveld, J De Smedt - Journal of International Financial Markets …, 2020 - Elsevier
Cryptocurrencies have become a very popular topic recently, primarily due to their disruptive
potential and reports of unprecedented returns. In addition, academics increasingly …

Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate

DA Broniatowski, AM Jamison… - … journal of public …, 2018 - ajph.aphapublications.org
Objectives. To understand how Twitter bots and trolls (“bots”) promote online health content.
Methods. We compared bots' to average users' rates of vaccine-relevant messages, which …

Online misinformation about climate change

KMI Treen, HTP Williams… - … Reviews: Climate Change, 2020 - Wiley Online Library
Policymakers, scholars, and practitioners have all called attention to the issue of
misinformation in the climate change debate. But what is climate change misinformation …

Combating fake news: A survey on identification and mitigation techniques

K Sharma, F Qian, H Jiang, N Ruchansky… - ACM Transactions on …, 2019 - dl.acm.org
The proliferation of fake news on social media has opened up new directions of research for
timely identification and containment of fake news and mitigation of its widespread impact on …

[HTML][HTML] The spread of low-credibility content by social bots

C Shao, GL Ciampaglia, O Varol, KC Yang… - Nature …, 2018 - nature.com
The massive spread of digital misinformation has been identified as a major threat to
democracies. Communication, cognitive, social, and computer scientists are studying the …