Misinformation Dissemination in Twitter in the COVID-19 Era

By Chayakrit Krittanawong, B. Narasimhan, H. H. Virk, H. Narasimhan, Joshua Hahn, Zhen Wang, W. Tang. 2020

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Sociology and Political Science, Natural Language Processing, AI Ethics, Fairness & Society

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Iason Gabriel
2. Po-Sen Huang
3. Jonathan Uesato
4. William S. Isaac
5. John F. J. Mellor
6. Borja Balle
7. Geoffrey Irving
8. Myra Cheng

In Information Systems

1. William S. Isaac
2. Iason Gabriel
3. Borja Balle
4. Myra Cheng
5. Po-Sen Huang
6. Atoosa Kasirzadeh
7. Abeba Birhane
8. Jonathan Uesato

In Sociology and Political Science

1. William S. Isaac
2. Iason Gabriel
3. Borja Balle
4. Myra Cheng
5. Lisa Anne Hendricks
6. T. Stepleton
7. Atoosa Kasirzadeh
8. Abeba Birhane

In Natural Language Processing

1. Iason Gabriel
2. John F. J. Mellor
3. Borja Balle
4. Geoffrey Irving
5. Myra Cheng
6. Lisa Anne Hendricks
7. Po-Sen Huang
8. Laura Rimell

In AI Ethics, Fairness & Society

1. William S. Isaac
2. Iason Gabriel
3. Borja Balle
4. T. Stepleton
5. Atoosa Kasirzadeh
6. Abeba Birhane

Citations in the corpus

• Ethical and social risks of harm from Language Models (2021, background): “2.3.2 Disseminating false or misleading information Allcott et al. (2019); Krittanawong et al. (2020); Wang et al. (2019b) Branwen (2020); Dale (2021); Lacker (2020); Lin et al. (2021); Rae et al. (2021); Zhang et al. (2021b) 2.3.3 Causing material harm by disseminating misinformation e.g. in…”