Why Internet Infrastructure Decisions Rarely Stay Localized - Internet Society

Even narrow policy choices can have ripple effects that shape what people can access, how information moves, and who can participate online.

David Dill: Why Online Voting Is a Danger to Democracy

​A Stanford computer scientist says Internet voting would be "a complete disaster."

Ideological Segregation Online and Offline *

Abstract. We use individual and aggregate data to ask how the Internet is changing the ideological segregation of the American electorate. Focusing on onli

Data Mining Reveals How The “Down-Vote” Leads To A Vicious Circle Of Negative Feedback

A classic theory of behavioural psychology predicts that punishment should improve behaviour. But the first study of online voting behaviour in social networks shows exactly the opposite

Introducing a network for thoughtful conversations

The quality of conversations on the Internet is terrible. Most platforms like Twitter, Facebook, Instagram, Reddit, etc. optimize for engagement as their key metric. This spawns and rewards behavior that leads to bragging of gameable metrics such as likes and followers, self-feeding thought bubbles, knee-jerk reactions, “if you’re not on our side, you’re on their side” mentality, and thought policing even by people who think they’re fighting for a good cause. Today’s Internet doesn’t incentiviz

The Internet Doesn’t Have to Be Bad for Democracy

A new form of online survey uses crowdsourcing and data visualization to reveal the hidden nuances in partisan debates.

Mainstreaming the populist radical right? Online news exposure and voting behavior in the 2019 European Parliament election

How does media exposure relate to support for radical right populist parties (RRPPs)? We contribute to this classic debate by analyzing the web browsing histories and survey responses of six thousand study participants in France, Germany, Italy, Spain, and the UK during the 2019 European Parliament election. Linking direct measures of online news exposure to voting behavior allows us to assess the effects of the salience of issues politicized by RRPPs on their electoral support. The likelihood to vote for RRPPs was higher when the EU was more salient in individual media diets, while exposure to the less salient issue of immigration did not increase the propensity to vote for RRPPs. Alongside consistent results for other party families and interactions with pre-existing voting intentions, the findings indicate that the electoral effects of online media are contingent on the overall salience of a specific issue and voters’ predispositions.

Stop and Consider:Our campaign

During a federal election there is a large amount of information being distributed, much of it online, which is seeking to influence your vote. Some of this may be disinformation, or false information.

The Dark Forest Theory of the Internet

Why the dark forests of the internet — podcasts, newsletters, and other private channels — are growing, and why might that pose a problem

Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election

Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: What political content are users exposed to beyond their established networks, and what implications does this have for democratic discourse online? In this paper, we present a six-week audit of X's algorithmic content recommendations during the 2024 U.S. Presidential Election by deploying 120 sock-puppet monitoring accounts to capture tweets from their personalized "For You" timelines. Our objective is to quantify out-of-network content exposure for right- and left-leaning user profiles and assess any potential inequalities and biases in political exposure. Our findings indicate that X's algorithm skews exposure toward a few high-popularity accounts across all users, with right-leaning users experiencing the highest level of exposure inequality. Both left- and right-leaning users encounter amplified exposure to accounts aligned with their own political views and reduced exposure to opposing viewpoints. Additionally, we observe that new accounts experience a right-leaning bias in exposure within their default timelines. Our work contributes to understanding how content recommendation systems may induce and reinforce biases while exacerbating vulnerabilities among politically polarized user groups. We underscore the importance of transparency-aware algorithms in addressing critical issues such as safeguarding election integrity and fostering a more informed digital public sphere.

The Offline Club | Offline Community & Events

Join The Offline Club's global movement towards a more humane world. We host offline events and retreats for you to unplug and connect, community-style.

The small effects of political advertising are small regardless of context, message, sender, or receiver: Evidence from 59 real-time randomized experiments

Campaign persuasion operates with notable consistency across political parties, message tone, and information environment., Evidence across social science indicates that average effects of persuasive messages are small. One commonly offered explanation for these small effects is heterogeneity: Persuasion may only work well in specific circumstances. To evaluate heterogeneity, we repeated an experiment weekly in real time using 2016 U.S. presidential election campaign advertisements. We tested 49 political advertisements in 59 unique experiments on 34,000 people. We investigate heterogeneous effects by sender (candidates or groups), receiver (subject partisanship), content (attack or promotional), and context (battleground versus non-battleground, primary versus general election, and early versus late). We find small average effects on candidate favorability and vote. These small effects, however, do not mask substantial heterogeneity even where theory from political science suggests that we should find it. During the primary and general election, in battleground states, for Democrats, Republicans, and Independents, effects are similarly small. Heterogeneity with large offsetting effects is not the source of small average effects.

Digital Social Norm Enforcement: Online Firestorms in Social Media

Actors of public interest today have to fear the adverse impact that stems from social media platforms. Any controversial behavior may promptly trigger temporal, but potentially devastating storms of emotional and aggressive outrage, so called online firestorms. Popular targets of online firestorms are companies, politicians, celebrities, media, academics and many more. This article introduces social norm theory to understand online aggression in a social-political online setting, challenging the popular assumption that online anonymity is one of the principle factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions. Results show that in the context of online firestorms, non-anonymous individuals are more aggressive compared to anonymous individuals. This effect is reinforced if selective incentives are present and if aggressors are intrinsically motivated.

Digital Social Norm Enforcement: Online Firestorms in Social Media

Actors of public interest today have to fear the adverse impact that stems from social media platforms. Any controversial behavior may promptly trigger temporal, but potentially devastating storms of emotional and aggressive outrage, so called online firestorms. Popular targets of online firestorms are companies, politicians, celebrities, media, academics and many more. This article introduces social norm theory to understand online aggression in a social-political online setting, challenging the popular assumption that online anonymity is one of the principle factors that promotes aggression. We underpin this social norm view by analyzing a major social media platform concerned with public affairs over a period of three years entailing 532,197 comments on 1,612 online petitions. Results show that in the context of online firestorms, non-anonymous individuals are more aggressive compared to anonymous individuals. This effect is reinforced if selective incentives are present and if aggressors are intrinsically motivated.

The architecture of the internet creates risks for democracy

Will democracy survive the internet? Do we need to choose between Facebook’s surveillance capitalism or democracy? Layered lines of evidence can inform questions like these. When considered together, the evidence gives rise to a concerning picture, as summarized in a recent report for the European Commission that I co-led.

Reranking partisan animosity in algorithmic social media feeds alters affective polarization

Today, social media platforms hold the sole power to study the effects of feed-ranking algorithms. We developed a platform-independent method that reranks participants’ feeds in real time and used this method to conduct a preregistered 10-day field ...