Robert Gorwa
Dados Biográficos
| ID | 2744838 |
|---|---|
| NOME | Robert Gorwa |
| PRENOMES | Robert |
| SOBRENOME | Gorwa |
| ASSINATURA | GORWA R |
| AFILIAÇÕES | University of Oxford |
| ORCID | 0000-0002-4891-5053 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 12 |
| TOTAL DE CITAÇÕES | 241 |
| OBRAS COMO AUTOR | 12 |
| OBRAS COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2018 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 3 |
The Great Sysop
This article discusses Twitter’s mutation into X under Elon Musk, analyzing its shift from a mainstream platform to a far-right-aligned space. Through a novel conceptualization of institutional change in Trust and Safety, and an analysis of a dataset of over 1500 events related to X’s organizational transformation, we argue that three processes came to characterize X’s approach to content moderation: the political simplification of Twitter’s gove…
Platform lobbying
This paper examines how platform companies seek to lobby and otherwise influence policymakers during heated regulatory episodes. While there has been some valuable recent work on different policy influence strategies deployed by platform firms, in particular the emerging use of “user-facing” tactics of consumer mobilisation, current research tends to neglect the role of specific institutional contexts and related power structures intermediating t…
AI and Global Governance
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the world are engaged in building a governance regime around it. What exactly the “it” is that is being governed, how, by who, and why-these are all less clear. In this review, we attempt to shine some light on those questions, considering literature on AI, the governance of computing, and regulation and governance more broadly. We take critical stock of…
Elections, institutions, and the regulatory politics of platform governance
Expanding the debate about content moderation
Content moderation has exploded as a policy, advocacy, and public concern. But these debates still tend to be driven by high-profile incidents and to focus on the largest, US based platforms. In order to contribute to informed policymaking, scholarship in this area needs to recognise that moderation is an expansive socio-technical phenomenon, which functions in many contexts and takes many forms. Expanding the discussion also changes how we asses…
The Turn to Trade Agreements in Global Platform Governance
In the past few years, a growing number of proposals have been developed to govern major platforms for user-generated content through formalized legislation as well as voluntary self-regulatory initiatives. This paper focusses on the increasingly significant use of trade agreements for the governance of these platforms. While trade agreements have been analysed by academics working on internet governance, copyright, and other issues, they still h…
Towards Fairness, Accountability, and Transparency in Platform Governance
Drawing inspiration from recent work on Fairness, Accountability, and Transparency (FAT) in machine learning, this paper explores a similar research agenda for fairness, accountability, and transparency in platform governance. The paper seeks to make two contributions: (a) provide the initial provocation for what could be termed FAT-platform studies, and to (b) build on the extant platform governance literature (e.g Gillespie 2010, 2015, 2017; De…
The State of Global Harmful Content Regulation
Online intermediaries have always been regulated, locked in heated battles around intermediary liability for copyright or privacy reasons (Tusikov, 2016; Gorwa 2019). But a notable trend is the rapidly growing use of policy to try and govern user-generated content with a host of other perceived social or individual harms, such as disinformation, hate speech, and terrorist propaganda (Kaye, 2019; York 2019; Suzor 2019). Even as increasing academic…
Algorithmic content moderation
As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation. Automated hash-matching and predictive machine learning tools – what we define here as algorithmic moderation systems – are increasingly being deployed to conduct content moderation at scale by major platforms for user-generated content such a…
The platform governance triangle
From the new Facebook 'Oversight Body' for content moderation to the 'Christchurch Call to eliminate terrorism and violent extremism online,' a growing number of voluntary and non-binding informal governance initiatives have recently been proposed as attractive ways to rein in Facebook, Google, and other platform companies hosting user-generated content.
What is platform governance
Following a host of high-profile scandals, the political influence of platform companies (the global corporations that that operate online 'platforms' such as Facebook, WhatsApp, YouTube, and many other online services) is slowly being re-evaluated. Amidst growing calls to regulate these companies and make them more democratically accountable, and a host of policy interventions that are actively being pursued in Europe and beyond, a better unders…
Poland
This chapter provides the first overview of political bots, fake accounts, and other false amplifiers in Poland. Based on extensive interviews with political campaign managers, journalists, activists, employees of social media marketing firms, and civil society groups, the chapter outlines the emergence of Polish digital politics, covering the energetic and hyper-partisan “troll wars,” the interaction of hate speech with modern platform algorithm…
What is platform governance
Following a host of high-profile scandals, the political influence of platform companies (the global corporations that that operate online 'platforms' such as Facebook, WhatsApp, YouTube, and many other online services) is slowly being re-evaluated. Amidst growing calls to regulate these companies and make them more democratically accountable, and a host of policy interventions that are actively being pursued in Europe and beyond, a better unders…
Algorithmic content moderation
As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation. Automated hash-matching and predictive machine learning tools – what we define here as algorithmic moderation systems – are increasingly being deployed to conduct content moderation at scale by major platforms for user-generated content such a…
AI and Global Governance
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the world are engaged in building a governance regime around it. What exactly the “it” is that is being governed, how, by who, and why-these are all less clear. In this review, we attempt to shine some light on those questions, considering literature on AI, the governance of computing, and regulation and governance more broadly. We take critical stock of…
Poland
This chapter provides the first overview of political bots, fake accounts, and other false amplifiers in Poland. Based on extensive interviews with political campaign managers, journalists, activists, employees of social media marketing firms, and civil society groups, the chapter outlines the emergence of Polish digital politics, covering the energetic and hyper-partisan “troll wars,” the interaction of hate speech with modern platform algorithm…
The platform governance triangle
From the new Facebook 'Oversight Body' for content moderation to the 'Christchurch Call to eliminate terrorism and violent extremism online,' a growing number of voluntary and non-binding informal governance initiatives have recently been proposed as attractive ways to rein in Facebook, Google, and other platform companies hosting user-generated content.
What is platform governance
Following a host of high-profile scandals, the political influence of platform companies (the global corporations that that operate online 'platforms' such as Facebook, WhatsApp, YouTube, and many other online services) is slowly being re-evaluated. Amidst growing calls to regulate these companies and make them more democratically accountable, and a host of policy interventions that are actively being pursued in Europe and beyond, a better unders…
Expanding the debate about content moderation
Content moderation has exploded as a policy, advocacy, and public concern. But these debates still tend to be driven by high-profile incidents and to focus on the largest, US based platforms. In order to contribute to informed policymaking, scholarship in this area needs to recognise that moderation is an expansive socio-technical phenomenon, which functions in many contexts and takes many forms. Expanding the discussion also changes how we asses…
The Turn to Trade Agreements in Global Platform Governance
In the past few years, a growing number of proposals have been developed to govern major platforms for user-generated content through formalized legislation as well as voluntary self-regulatory initiatives. This paper focusses on the increasingly significant use of trade agreements for the governance of these platforms. While trade agreements have been analysed by academics working on internet governance, copyright, and other issues, they still h…
Towards Fairness, Accountability, and Transparency in Platform Governance
Drawing inspiration from recent work on Fairness, Accountability, and Transparency (FAT) in machine learning, this paper explores a similar research agenda for fairness, accountability, and transparency in platform governance. The paper seeks to make two contributions: (a) provide the initial provocation for what could be termed FAT-platform studies, and to (b) build on the extant platform governance literature (e.g Gillespie 2010, 2015, 2017; De…
The State of Global Harmful Content Regulation
Online intermediaries have always been regulated, locked in heated battles around intermediary liability for copyright or privacy reasons (Tusikov, 2016; Gorwa 2019). But a notable trend is the rapidly growing use of policy to try and govern user-generated content with a host of other perceived social or individual harms, such as disinformation, hate speech, and terrorist propaganda (Kaye, 2019; York 2019; Suzor 2019). Even as increasing academic…
Algorithmic content moderation
As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinformation. Automated hash-matching and predictive machine learning tools – what we define here as algorithmic moderation systems – are increasingly being deployed to conduct content moderation at scale by major platforms for user-generated content such a…
Elections, institutions, and the regulatory politics of platform governance
AI and Global Governance
Artificial intelligence (AI) is a salient but polarizing issue of recent times. Actors around the world are engaged in building a governance regime around it. What exactly the “it” is that is being governed, how, by who, and why-these are all less clear. In this review, we attempt to shine some light on those questions, considering literature on AI, the governance of computing, and regulation and governance more broadly. We take critical stock of…
Platform lobbying
This paper examines how platform companies seek to lobby and otherwise influence policymakers during heated regulatory episodes. While there has been some valuable recent work on different policy influence strategies deployed by platform firms, in particular the emerging use of “user-facing” tactics of consumer mobilisation, current research tends to neglect the role of specific institutional contexts and related power structures intermediating t…
The Great Sysop
This article discusses Twitter’s mutation into X under Elon Musk, analyzing its shift from a mainstream platform to a far-right-aligned space. Through a novel conceptualization of institutional change in Trust and Safety, and an analysis of a dataset of over 1500 events related to X’s organizational transformation, we argue that three processes came to characterize X’s approach to content moderation: the political simplification of Twitter’s gove…
Business (9 obras) · Political science (9 obras) · Law (8 obras) · Public relations (8 obras) · Corporate governance (7 obras) · Hate Speech and Cyberbullying Detection (6 obras) · Politics (5 obras) · Privacy, Security, and Data Protection (4 obras) · Sociology (4 obras) · Computer Science (3 obras)