David Rozado
Biographic Data
| ID | 699297 |
|---|---|
| NAME | David Rozado |
| GIVEN NAMES | David |
| FAMILY NAME | Rozado |
| SIGNATURE | ROZADO D |
| AFFILIATIONS | Otago Polytechnic |
| ORCID | 0000-0001-6849-4746 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 44 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Assessing political bias in AI systems
The Political Biases of ChatGPT
Recent advancements in Large Language Models (LLMs) suggest imminent commercial applications of such AI systems where they will serve as gateways to interact with technology and the accumulated body of human knowledge. The possibility of political biases embedded in these models raises concerns about their potential misusage. In this work, we report the results of administering 15 different political orientation tests (14 in English, 1 in Spanish…
The Increasing Frequency of Terms Denoting Political Extremism in U.S. and U.K. News Media
The term political extremism is commonly used to refer to political attitudes considered to be outside the ideological mainstream. This study leverages computational content analysis of big data to longitudinally examine (1970–2019) the prevalence of terms denoting far-right and far-left political extremism in more than 30 million written news and opinion articles from 54 news media outlets popular in the United States and the United Kingdom. We …
Themes in Academic Literature
Despite a marked decline in prejudicial attitudes among the public at large, a survey of 175 million scholarly articles published over the last five decades has found a sharp spike in words denoting prejudice and social justice themes beginning in 2010 and lasting at least through the first few months of 2020, a pattern observed within news media content as well
The Prevalence of Prejudice-Denoting Terms in Spanish Newspapers
Previous scholarly literature has documented a pronounced increase in the prevalence of prejudice-denoting terms in American news media content. Some have referred to this shift in journalistic discourse and related public opinion trends signaling increasing perceptions of prejudice severity in U.S. society as The Great Awokening. This work analyzes whether the increasing prevalence of prejudice themes in American news media outlets has been repl…
Perceived Freedom of Expression at New Zealand Universities
Few topics are currently as polarizing as the appropriate limits, and perceived dangers, of free speech on university campuses. A side effect of this polarized environment is that students themselves may be reluctant to speak publicly on politically sensitive topics. Indeed, recent surveys by the Heterodox Academy (HxA) revealed that a majority of American university students thought their campus was not conducive to the free expression of ideas,…
Prevalence of Prejudice-Denoting Words in News Media Discourse
This work analyzes the prevalence of words denoting prejudice in 27 million news and opinion articles written between 1970 and 2019 and published in 47 of the most popular news media outlets in the United States. Our results show that the frequency of words that denote specific prejudice types related to ethnicity, gender, sexual, and religious orientation has markedly increased within the 2010–2019 decade across most news media outlets. This phe…
Prevalence in News Media of Two Competing Hypotheses about Covid-19 Origins
The COVID-19 pandemic has been one of the most disruptive and painful phenomena of the last few decades. As of July 2021, the origins of the SARS-CoV-2 virus that caused the outbreak remain a mystery. This work analyzes the prevalence in news media articles of two popular hypotheses about SARS-CoV-2 virus origins: the natural emergence and the lab-leak hypotheses. Our results show that for most of 2020, the natural emergence hypothesis was favore…
Prejudice and Victimization Themes in New York Times Discourse
Using Word Embeddings to Analyze how Universities Conceptualize "Diversity" in their Online Institutional Presence
Why Are Nondiscrimination Statements Not Diverse
Detecting Intention Through Motor-Imagery-Triggered Pupil Dilations
Human–computer interaction systems that bypass manual control can be beneficial for many use cases, including users with severe motor disability. We investigated pupillometry (inferring mental activity via dilations of the pupil) as an interaction method because it is noninvasive, easy to analyse, and increasingly available for practical development. In 3 experiments we investigated the efficacy of using pupillometry to detect imaginary motor mov…
Controlling a Smartphone Using Gaze Gestures as the Input Mechanism
The emergence of small handheld devices such as tablets and smartphones, often with touch sensitive surfaces as their only input modality, has spurred a growing interest in the subject of gestures for human–computer interaction (HCI). It has been proven before that eye movements can be consciously controlled by humans to the extent of performing sequences of predefined movement patterns, or “gaze gestures” that can be used for HCI purposes in des…
The Political Biases of ChatGPT
Recent advancements in Large Language Models (LLMs) suggest imminent commercial applications of such AI systems where they will serve as gateways to interact with technology and the accumulated body of human knowledge. The possibility of political biases embedded in these models raises concerns about their potential misusage. In this work, we report the results of administering 15 different political orientation tests (14 in English, 1 in Spanish…
Prevalence of Prejudice-Denoting Words in News Media Discourse
This work analyzes the prevalence of words denoting prejudice in 27 million news and opinion articles written between 1970 and 2019 and published in 47 of the most popular news media outlets in the United States. Our results show that the frequency of words that denote specific prejudice types related to ethnicity, gender, sexual, and religious orientation has markedly increased within the 2010–2019 decade across most news media outlets. This phe…
Perceived Freedom of Expression at New Zealand Universities
Few topics are currently as polarizing as the appropriate limits, and perceived dangers, of free speech on university campuses. A side effect of this polarized environment is that students themselves may be reluctant to speak publicly on politically sensitive topics. Indeed, recent surveys by the Heterodox Academy (HxA) revealed that a majority of American university students thought their campus was not conducive to the free expression of ideas,…
Prevalence in News Media of Two Competing Hypotheses about Covid-19 Origins
The COVID-19 pandemic has been one of the most disruptive and painful phenomena of the last few decades. As of July 2021, the origins of the SARS-CoV-2 virus that caused the outbreak remain a mystery. This work analyzes the prevalence in news media articles of two popular hypotheses about SARS-CoV-2 virus origins: the natural emergence and the lab-leak hypotheses. Our results show that for most of 2020, the natural emergence hypothesis was favore…
Using Word Embeddings to Analyze how Universities Conceptualize "Diversity" in their Online Institutional Presence
Controlling a Smartphone Using Gaze Gestures as the Input Mechanism
The emergence of small handheld devices such as tablets and smartphones, often with touch sensitive surfaces as their only input modality, has spurred a growing interest in the subject of gestures for human–computer interaction (HCI). It has been proven before that eye movements can be consciously controlled by humans to the extent of performing sequences of predefined movement patterns, or “gaze gestures” that can be used for HCI purposes in des…
Detecting Intention Through Motor-Imagery-Triggered Pupil Dilations
Human–computer interaction systems that bypass manual control can be beneficial for many use cases, including users with severe motor disability. We investigated pupillometry (inferring mental activity via dilations of the pupil) as an interaction method because it is noninvasive, easy to analyse, and increasingly available for practical development. In 3 experiments we investigated the efficacy of using pupillometry to detect imaginary motor mov…
Why Are Nondiscrimination Statements Not Diverse
Using Word Embeddings to Analyze how Universities Conceptualize "Diversity" in their Online Institutional Presence
Prejudice and Victimization Themes in New York Times Discourse
Prevalence of Prejudice-Denoting Words in News Media Discourse
This work analyzes the prevalence of words denoting prejudice in 27 million news and opinion articles written between 1970 and 2019 and published in 47 of the most popular news media outlets in the United States. Our results show that the frequency of words that denote specific prejudice types related to ethnicity, gender, sexual, and religious orientation has markedly increased within the 2010–2019 decade across most news media outlets. This phe…
Prevalence in News Media of Two Competing Hypotheses about Covid-19 Origins
The COVID-19 pandemic has been one of the most disruptive and painful phenomena of the last few decades. As of July 2021, the origins of the SARS-CoV-2 virus that caused the outbreak remain a mystery. This work analyzes the prevalence in news media articles of two popular hypotheses about SARS-CoV-2 virus origins: the natural emergence and the lab-leak hypotheses. Our results show that for most of 2020, the natural emergence hypothesis was favore…
The Increasing Frequency of Terms Denoting Political Extremism in U.S. and U.K. News Media
The term political extremism is commonly used to refer to political attitudes considered to be outside the ideological mainstream. This study leverages computational content analysis of big data to longitudinally examine (1970–2019) the prevalence of terms denoting far-right and far-left political extremism in more than 30 million written news and opinion articles from 54 news media outlets popular in the United States and the United Kingdom. We …
Themes in Academic Literature
Despite a marked decline in prejudicial attitudes among the public at large, a survey of 175 million scholarly articles published over the last five decades has found a sharp spike in words denoting prejudice and social justice themes beginning in 2010 and lasting at least through the first few months of 2020, a pattern observed within news media content as well
The Prevalence of Prejudice-Denoting Terms in Spanish Newspapers
Previous scholarly literature has documented a pronounced increase in the prevalence of prejudice-denoting terms in American news media content. Some have referred to this shift in journalistic discourse and related public opinion trends signaling increasing perceptions of prejudice severity in U.S. society as The Great Awokening. This work analyzes whether the increasing prevalence of prejudice themes in American news media outlets has been repl…
Perceived Freedom of Expression at New Zealand Universities
Few topics are currently as polarizing as the appropriate limits, and perceived dangers, of free speech on university campuses. A side effect of this polarized environment is that students themselves may be reluctant to speak publicly on politically sensitive topics. Indeed, recent surveys by the Heterodox Academy (HxA) revealed that a majority of American university students thought their campus was not conducive to the free expression of ideas,…
The Political Biases of ChatGPT
Recent advancements in Large Language Models (LLMs) suggest imminent commercial applications of such AI systems where they will serve as gateways to interact with technology and the accumulated body of human knowledge. The possibility of political biases embedded in these models raises concerns about their potential misusage. In this work, we report the results of administering 15 different political orientation tests (14 in English, 1 in Spanish…
Assessing political bias in AI systems
Psychology (11 works) · Sociology (9 works) · Law (8 works) · Political science (8 works) · Politics (6 works) · Social Psychology (6 works) · Hate Speech and Cyberbullying Detection (4 works) · Law (4 works) · Social Psychology (4 works) · Academic Freedom and Politics (3 works)