[HTML][HTML] COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data

W Ahmed, J Vidal-Alaball, J Downing… - Journal of medical internet …, 2020 - jmir.org
Background: Since the beginning of December 2019, the coronavirus disease (COVID-19)
has spread rapidly around the world, which has led to increased discussions across online …

Covid-19 public sentiment insights and machine learning for tweets classification

J Samuel, GGMN Ali, MM Rahman, E Esawi, Y Samuel - Information, 2020 - mdpi.com
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …

Using machine learning to investigate the public's emotional responses to work from home during the COVID-19 pandemic.

H Min, Y Peng, M Shoss, B Yang - Journal of Applied Psychology, 2021 - psycnet.apa.org
According to event system theory (EST; Morgeson et al., Academy of Management Review,
40, 2015, 515–537), the coronavirus disease 2019 (COVID-19) pandemic and resultant stay …

Do deepfake videos undermine our epistemic trust? A thematic analysis of tweets that discuss deepfakes in the Russian invasion of Ukraine

J Twomey, D Ching, MP Aylett, M Quayle, C Linehan… - Plos one, 2023 - journals.plos.org
Deepfakes are a form of multi-modal media generated using deep-learning technology.
Many academics have expressed fears that deepfakes present a severe threat to the …

Toward an ethical framework for the text mining of social media for health research: a systematic review

E Ford, S Shepherd, K Jones, L Hassan - Frontiers in digital health, 2021 - frontiersin.org
Background: Text-mining techniques are advancing all the time and vast corpora of social
media text can be analyzed for users' views and experiences related to their health. There is …

Antivaccine movement and COVID-19 negationism: a content analysis of Spanish-written messages on Twitter

I Herrera-Peco, B Jiménez-Gómez… - Vaccines, 2021 - mdpi.com
During the COVID-19 pandemic, different conspiracies have risen, with the most dangerous
being those focusing on vaccines. Today, there exists a social media movement focused on …

Social media data analytics for outbreak risk communication: public attention on the “New Normal” during the COVID-19 pandemic in Indonesia

AR Rahmanti, DNA Ningrum, L Lazuardi… - Computer Methods and …, 2021 - Elsevier
Background After two months of implementing a partial lockdown, the Indonesian
government had announced the “New Normal” policy to prevent a further economic crash in …

Your stance is exposed! analysing possible factors for stance detection on social media

A Aldayel, W Magdy - Proceedings of the ACM on Human-Computer …, 2019 - dl.acm.org
To what extent user's stance towards a given topic could be inferred? Most of the studies on
stance detection have focused on analysing user's posts on a given topic to predict the …

Breaching learners' social distancing through social media during the COVID-19 pandemic

MZ Asghar, A Iqbal, P Seitamaa-Hakkarainen… - International journal of …, 2021 - mdpi.com
Higher education has been shifted toward blended learning during the COVID-19 pandemic.
An increase in social media usage intensity and reduced face-to-face interaction due to the …

Office of the citizen: a qualitative analysis of Twitter activity during the Lekki shooting in Nigeria's# EndSARS protests

TH Dambo, M Ersoy, AM Auwal… - Information …, 2022 - Taylor & Francis
In recent times, SNSs have been influential in re-shaping social movements. Not only do
they allow access to cheaper and quicker mobilization resources for demonstrators, they …