José M de Fuentes
Biographic Data
| ID | 10055811 |
|---|---|
| NAME | José M de Fuentes |
| GIVEN NAMES | José M |
| FAMILY NAME | de Fuentes |
| SIGNATURE | DE FUENTES J M |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0002-4023-3197 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
From Lack of Concerns to Complicity: How Misinformation Concerns Influences Fake News Sharing on WhatsApp via the Partisan Legitimation of Fake News
Objectives Misinformation has emerged as an important threat to democracies, fostering severe concerns among citizens worldwide. However, even in this context, research emphasizes that citizens play a crucial role in the dissemination of falsehoods on social media. While previous studies argued that most users unintentionally share fake news when misjudging its accuracy, recent evidence points to partisan identity as a stronger predictor of this …
Measuring Implementation Fidelity for the Gathering of Native Americans (Gona)
This article releases the Gathering of Native Americans (GONA) Fidelity Tool to the public. The paper describes the methods in the development of the GONA Fidelity Tool and how it is used in planning, implementing, evaluating, and in further tailoring the GONA process more precisely to the community's needs and strengths. Development and revision of the tool occurred over 10 years with participation and input from 7 Urban Indian Health Organizati…
On the Feasibility of Predicting Volumes of Fake News—The Spanish Case
The growing amount of news shared on the Internet makes it hard to verify them in real-time. Malicious actors take advantage of this situation by spreading fake news to impact society through misinformation. An estimation of future fake news would help to focus the detection and verification efforts. Unfortunately, no previous work has addressed this issue yet. Therefore, this work measures the feasibility of predicting the volume of future fake …
No prominent works on this page.
On the Feasibility of Predicting Volumes of Fake News—The Spanish Case
The growing amount of news shared on the Internet makes it hard to verify them in real-time. Malicious actors take advantage of this situation by spreading fake news to impact society through misinformation. An estimation of future fake news would help to focus the detection and verification efforts. Unfortunately, no previous work has addressed this issue yet. Therefore, this work measures the feasibility of predicting the volume of future fake …
From Lack of Concerns to Complicity: How Misinformation Concerns Influences Fake News Sharing on WhatsApp via the Partisan Legitimation of Fake News
Objectives Misinformation has emerged as an important threat to democracies, fostering severe concerns among citizens worldwide. However, even in this context, research emphasizes that citizens play a crucial role in the dissemination of falsehoods on social media. While previous studies argued that most users unintentionally share fake news when misjudging its accuracy, recent evidence points to partisan identity as a stronger predictor of this …
Measuring Implementation Fidelity for the Gathering of Native Americans (Gona)
This article releases the Gathering of Native Americans (GONA) Fidelity Tool to the public. The paper describes the methods in the development of the GONA Fidelity Tool and how it is used in planning, implementing, evaluating, and in further tailoring the GONA process more precisely to the community's needs and strengths. Development and revision of the tool occurred over 10 years with participation and input from 7 Urban Indian Health Organizati…
Computer Science (3 works) · Fake news (2 works) · History (2 works) · Internet privacy (2 works) · Misinformation (2 works) · Misinformation and Its Impacts (2 works) · Political science (2 works) · Advertising (1 works) · Artificial Intelligence (1 works) · Big Data and Digital Economy (1 works)