Joao Fernando Ferreira Goncalves
Biographic Data
| ID | 169474 |
|---|---|
| NAME | Joao Fernando Ferreira Goncalves |
| GIVEN NAMES | Joao Fernando Ferreira |
| FAMILY NAME | Goncalves |
| SIGNATURE | GONCALVES J F F |
| AFFILIATIONS | Erasmus University Rotterdam |
| ORCID | 0000-0002-8948-0455 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 37 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Polarization by recommendation: Analyzing YouTube’s polarization dynamics around Dutch political parties
Given previous findings regarding YouTube’s pathways toward radicalization, this research investigated to what extent YouTube’s recommendation algorithm contributes to the affective polarization of Dutch watchers of political parties’ content. To investigate this, content networks around parties’ YouTube presence were generated and video subtitles and titles were extracted for analysis. Sentiment classifiers were trained to recognize the presence…
One rotten apple or a rotten tree: Football leaders’ perceptions of racism in European football
Despite efforts by key stakeholders to address racial discrimination in international football, racially charged behaviour persists, particularly in the European context. To explore this phenomenon, our paper employs Critical Race Theory as a central framework and links empirical research to racism and inclusion while keeping institutional football and policy concerns at the forefront of its investigation. Primary questions underlining the study …
Those blimmin Ts and Cs”: A mixed methods analysis of how people manage personal information, privacy, and impressions
Interconnected and smart technologies complicate personal information management (PIM) because users delegate the storing, organizing, and retrieving of personal information to smart and mobile service providers.Meta-level PIM activities are required to maintain the privacy and security of personal information.This study provides insights into how users of location tracking, mobile apps, and smart home technologies perceive PIM and privacy.We tur…
Non-News Websites Expose People to More Political Content Than News Websites: Evidence from Browsing Data in Three Countries
Most scholars focus on the prevalence and democratic effects of (partisan) news exposure. This focus misses large parts of online activities of a majority of politically disinterested citizens. Although political content also appears outside of news outlets and may profoundly shape public opinion, its prevalence and effects are under-studied at scale. This project combines three-wave panel survey data from three countries (total N = 7,266) with o…
At the intersection of humanity and technology: A technofeminist intersectional critical discourse analysis of gender and race biases in the natural language processing model GPT-3
Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of human cognitive biases and stereotypes in such systems. This research is specifically concerned with analyzing the presence of discursive biases in the text generated by GPT-3, an NLPM which has been praised in recent years for resembling human language so closely that…
How to report on elections? The effects of game, issue and negative coverage on reader engagement and incivility
This study investigates to what extent specific features of news articles about election campaigns impact reader engagement and civility in news comments. Using content analysis of articles ( N = 830) and comments ( N = 29,421) published during the 2015 Portuguese Legislative elections, we test the impact of negative coverage, issue coverage and game coverage (politics as a game) on the number of comments that an article receives and the level of…
The (null) over-time effects of exposure to local news websites: Evidence from trace data
Scholars and observers attribute many democratic benefits to local news media. This paper examines exposure to local and national news media websites, side-by-side in one model, testing their over-time effects on political participation, knowledge, and affective and attitude polarization. We test whether traditionally disengaged or disadvantaged groups (i.e., racial minorities, those with low education levels, politically disinterested, and those…
Signaling news outlet trust in a Google Knowledge Panel: A conjoint experiment in Brazil, Germany, and the United States
Using data from a conjoint experiment in three countries (Brazil, n = 2038; Germany, n = 2012, and the United States, n = 2005), this study demonstrates that journalistic transparency can cue trust at the level of the entire news outlet—or domain level—using a Google Knowledge Panel that comes up when people search for a news outlet. In Brazil and the United States, two pieces of information in a Knowledge Panel provided the strongest heuristics …
Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks
The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) so…
Common sense or censorship: How algorithmic moderators and message type influence perceptions of online content deletion
Hateful content online is a concern for social media platforms, policymakers, and the public. This has led high-profile content platforms, such as Facebook, to adopt algorithmic content-moderation systems; however, the impact of algorithmic moderation on user perceptions is unclear. We experimentally test the extent to which the type of content being removed (profanity vs hate speech) and the explanation given for its removal (no explanation vs l…
Can AI Enhance People’s Support for Online Moderation and Their Openness to Dissimilar Political Views
Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries (N = 6,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal p…
The occidental otaku: Portuguese audience motivations for viewing anime
Japanese animation, widely known as anime, has a global reach. It is simultaneously broadcasted by traditional media and easily distributed and discussed among fans in the digital and online realms. However, non-Japanese audiences’ motivations for watching this kind of content remain almost unstudied in some countries, with Portugal being one of them. This article presents and discusses the outcomes of an online survey completed by 568 respondent…
Non-News Websites Expose People to More Political Content Than News Websites: Evidence from Browsing Data in Three Countries
Most scholars focus on the prevalence and democratic effects of (partisan) news exposure. This focus misses large parts of online activities of a majority of politically disinterested citizens. Although political content also appears outside of news outlets and may profoundly shape public opinion, its prevalence and effects are under-studied at scale. This project combines three-wave panel survey data from three countries (total N = 7,266) with o…
Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks
The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) so…
Common sense or censorship: How algorithmic moderators and message type influence perceptions of online content deletion
Hateful content online is a concern for social media platforms, policymakers, and the public. This has led high-profile content platforms, such as Facebook, to adopt algorithmic content-moderation systems; however, the impact of algorithmic moderation on user perceptions is unclear. We experimentally test the extent to which the type of content being removed (profanity vs hate speech) and the explanation given for its removal (no explanation vs l…
Can AI Enhance People’s Support for Online Moderation and Their Openness to Dissimilar Political Views
Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries (N = 6,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal p…
Polarization by recommendation: Analyzing YouTube’s polarization dynamics around Dutch political parties
Given previous findings regarding YouTube’s pathways toward radicalization, this research investigated to what extent YouTube’s recommendation algorithm contributes to the affective polarization of Dutch watchers of political parties’ content. To investigate this, content networks around parties’ YouTube presence were generated and video subtitles and titles were extracted for analysis. Sentiment classifiers were trained to recognize the presence…
One rotten apple or a rotten tree: Football leaders’ perceptions of racism in European football
Despite efforts by key stakeholders to address racial discrimination in international football, racially charged behaviour persists, particularly in the European context. To explore this phenomenon, our paper employs Critical Race Theory as a central framework and links empirical research to racism and inclusion while keeping institutional football and policy concerns at the forefront of its investigation. Primary questions underlining the study …
The (null) over-time effects of exposure to local news websites: Evidence from trace data
Scholars and observers attribute many democratic benefits to local news media. This paper examines exposure to local and national news media websites, side-by-side in one model, testing their over-time effects on political participation, knowledge, and affective and attitude polarization. We test whether traditionally disengaged or disadvantaged groups (i.e., racial minorities, those with low education levels, politically disinterested, and those…
The occidental otaku: Portuguese audience motivations for viewing anime
Japanese animation, widely known as anime, has a global reach. It is simultaneously broadcasted by traditional media and easily distributed and discussed among fans in the digital and online realms. However, non-Japanese audiences’ motivations for watching this kind of content remain almost unstudied in some countries, with Portugal being one of them. This article presents and discusses the outcomes of an online survey completed by 568 respondent…
Avenues to News and Diverse News Exposure Online: Comparing Direct Navigation, Social Media, News Aggregators, Search Queries, and Article Hyperlinks
The online environment dramatically expands the number of ways people can encounter news but there remain questions of whether these abundant opportunities facilitate news exposure diversity. This project examines key questions regarding how internet users arrive at news and what kinds of news they encounter. We account for a multiplicity of avenues to news online, some of which have never been analyzed: (1) direct access to news websites, (2) so…
Common sense or censorship: How algorithmic moderators and message type influence perceptions of online content deletion
Hateful content online is a concern for social media platforms, policymakers, and the public. This has led high-profile content platforms, such as Facebook, to adopt algorithmic content-moderation systems; however, the impact of algorithmic moderation on user perceptions is unclear. We experimentally test the extent to which the type of content being removed (profanity vs hate speech) and the explanation given for its removal (no explanation vs l…
Can AI Enhance People’s Support for Online Moderation and Their Openness to Dissimilar Political Views
Although artificial intelligence is blamed for many societal challenges, it also has underexplored potential in political contexts online. We rely on six preregistered experiments in three countries (N = 6,728) to test the expectation that AI and AI-assisted humans would be perceived more favorably than humans (a) across various content moderation, generation, and recommendation scenarios and (b) when exposing individuals to counter-attitudinal p…
How to report on elections? The effects of game, issue and negative coverage on reader engagement and incivility
This study investigates to what extent specific features of news articles about election campaigns impact reader engagement and civility in news comments. Using content analysis of articles ( N = 830) and comments ( N = 29,421) published during the 2015 Portuguese Legislative elections, we test the impact of negative coverage, issue coverage and game coverage (politics as a game) on the number of comments that an article receives and the level of…
The (null) over-time effects of exposure to local news websites: Evidence from trace data
Scholars and observers attribute many democratic benefits to local news media. This paper examines exposure to local and national news media websites, side-by-side in one model, testing their over-time effects on political participation, knowledge, and affective and attitude polarization. We test whether traditionally disengaged or disadvantaged groups (i.e., racial minorities, those with low education levels, politically disinterested, and those…
Signaling news outlet trust in a Google Knowledge Panel: A conjoint experiment in Brazil, Germany, and the United States
Using data from a conjoint experiment in three countries (Brazil, n = 2038; Germany, n = 2012, and the United States, n = 2005), this study demonstrates that journalistic transparency can cue trust at the level of the entire news outlet—or domain level—using a Google Knowledge Panel that comes up when people search for a news outlet. In Brazil and the United States, two pieces of information in a Knowledge Panel provided the strongest heuristics …
At the intersection of humanity and technology: A technofeminist intersectional critical discourse analysis of gender and race biases in the natural language processing model GPT-3
Algorithmic biases, or algorithmic unfairness, have been a topic of public and scientific scrutiny for the past years, as increasing evidence suggests the pervasive assimilation of human cognitive biases and stereotypes in such systems. This research is specifically concerned with analyzing the presence of discursive biases in the text generated by GPT-3, an NLPM which has been praised in recent years for resembling human language so closely that…
Those blimmin Ts and Cs”: A mixed methods analysis of how people manage personal information, privacy, and impressions
Interconnected and smart technologies complicate personal information management (PIM) because users delegate the storing, organizing, and retrieving of personal information to smart and mobile service providers.Meta-level PIM activities are required to maintain the privacy and security of personal information.This study provides insights into how users of location tracking, mobile apps, and smart home technologies perceive PIM and privacy.We tur…
Non-News Websites Expose People to More Political Content Than News Websites: Evidence from Browsing Data in Three Countries
Most scholars focus on the prevalence and democratic effects of (partisan) news exposure. This focus misses large parts of online activities of a majority of politically disinterested citizens. Although political content also appears outside of news outlets and may profoundly shape public opinion, its prevalence and effects are under-studied at scale. This project combines three-wave panel survey data from three countries (total N = 7,266) with o…
Polarization by recommendation: Analyzing YouTube’s polarization dynamics around Dutch political parties
Given previous findings regarding YouTube’s pathways toward radicalization, this research investigated to what extent YouTube’s recommendation algorithm contributes to the affective polarization of Dutch watchers of political parties’ content. To investigate this, content networks around parties’ YouTube presence were generated and video subtitles and titles were extracted for analysis. Sentiment classifiers were trained to recognize the presence…
One rotten apple or a rotten tree: Football leaders’ perceptions of racism in European football
Despite efforts by key stakeholders to address racial discrimination in international football, racially charged behaviour persists, particularly in the European context. To explore this phenomenon, our paper employs Critical Race Theory as a central framework and links empirical research to racism and inclusion while keeping institutional football and policy concerns at the forefront of its investigation. Primary questions underlining the study …
Political science (10 works) · Social Media and Politics (8 works) · Sociology (7 works) · Computer Science (6 works) · Law (6 works) · Politics (6 works) · Psychology (6 works) · Advertising (5 works) · Business (5 works) · Law (5 works)