Michael Miller Yoder
Biographic Data
| ID | 4046974 |
|---|---|
| NAME | Michael Miller Yoder |
| GIVEN NAMES | Michael Miller |
| FAMILY NAME | Yoder |
| SIGNATURE | YODER M M |
| AFFILIATIONS | School of Computer Science Carnegie Mellon University Pittsburgh Pennsylvania USA |
| ORCID | 0000-0002-0489-3358 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Modes of toxic behavior and game design considerations in online multiplayer games
Online multiplayer games like League of Legends, Counter Strike, and Roblox create experiences through community interactions between players. These games provide players with the ability to interact with each other through multiple modes of communication: text, image, audio, and behavioral signals. However, the presence of such features also opens a Pandora’s box to toxic behavior, such as hate speech, racism, and gaming-specific behaviors like …
Implicit Antisemitism and Covid-19 Conspiracy Theory on Twitter
Social media platforms are known to foster extremist rhetoric and ideologies, including antisemitism. Antisemitic conspiracy theories are often spread via mainstream social media platforms, especially during times of civic unrest. The COVID-19 pandemic created an opportunity for the alignment of long-standing antisemitic conspiracies with an international health crisis. This paper applies a mixed-methods approach of data analysis and qualitative …
An empirical analysis of high school students' practices of modelling with unstructured data
To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K‐12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created, applied, and its potential to perpetuate bias and unfairness. This study contributes to the growing inter…
No prominent works on this page.
An empirical analysis of high school students' practices of modelling with unstructured data
To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K‐12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created, applied, and its potential to perpetuate bias and unfairness. This study contributes to the growing inter…
Implicit Antisemitism and Covid-19 Conspiracy Theory on Twitter
Social media platforms are known to foster extremist rhetoric and ideologies, including antisemitism. Antisemitic conspiracy theories are often spread via mainstream social media platforms, especially during times of civic unrest. The COVID-19 pandemic created an opportunity for the alignment of long-standing antisemitic conspiracies with an international health crisis. This paper applies a mixed-methods approach of data analysis and qualitative …
Modes of toxic behavior and game design considerations in online multiplayer games
Online multiplayer games like League of Legends, Counter Strike, and Roblox create experiences through community interactions between players. These games provide players with the ability to interact with each other through multiple modes of communication: text, image, audio, and behavioral signals. However, the presence of such features also opens a Pandora’s box to toxic behavior, such as hate speech, racism, and gaming-specific behaviors like …
Computer Science (2 works) · Psychology (2 works) · 2019-20 coronavirus outbreak (1 works) · Advertising (1 works) · Antisemitism (1 works) · Archaeology (1 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Coronavirus disease 2019 (COVID-19 (1 works)