As survey experiments have become increasingly common in political science, some scholars have questioned whether inferences about the real world can be drawn from experiments involving hypothetical, text-based scenarios. In response to this criticism, some researchers recommended using realistic, context-heavy vignettes while others argue that abstract vignettes do not generate substantially different results. We contribute to this debate by evaluating whether incorporating contextually realistic graphics into survey experiment vignettes affects experimental outcomes. We field three original experiments that vary whether respondents are shown a realistic graphic or a plain text description during an international crisis. In our experiments, varying whether respondents are shown realistic graphics or plain text descriptions generally yields little difference in outcomes. Our findings have implications for survey methodology and experiments in political science – researchers may not need to invest the time to develop contextually realistic graphics when designing experiments.

Increasing partisan polarization has characterized American politics for decades. On January 6, 2021, both Republicans and Democrats in Congress expressed their horror at the violent invasion of the US Capitol, leading to the popular perception—emphasized by media accounts—that the attack generated a rare moment of bipartisan unity. We argue that while members of both parties condemned the attack, a marked partisan divide characterized their messaging even as events unfolded. We analyze all 1861 tweets by members of Congress on January 6th and find that Republicans were significantly more likely to characterize the invasion as a protest grown out of hand, while Democrats described it as an attack on democracy. The results strongly indicate that partisan polarization was alive and well on January 6th and may help to account for Republicans’ shift toward normatively positive portrayals of the day in subsequent months.

Anemic demand for local news has contributed to an industry crisis. We consider whether local elections, which highlight the ability of local television stations and newspapers to provide information that is unavailable from national news outlets, increase local media use. While we show these elections are a time of increased attention to local politics in the news and among the public, we also find local media outlets do not benefit from this when considering behavioral news use measures. Relative to news outlets in cities without an election, local television remains substantively unchanged during local elections. Newspaper website traffic is largely stable, although it falls slightly the month after an election. In both cases these differences are small, even when considering close races and those happening off the federal election cycle. This shows limits on the ability of salient local political events to motivate local news use.

Elected representatives have more means of public-facing communication at their disposal than ever before. Several studies examine how representatives use individual mediums, but we lack a baseline understanding of legislators’ relative use patterns across platforms. Using a novel data set of the four most widely used forms of written, constituent-facing communication (press releases, e-newsletters, Facebook posts, and Twitter tweets) by members of the US House of Representatives in the 114th (2015–2017), 115th (2017–2019), and 116th (2019–2021) Congresses, we generate a baseline understanding of how representatives communicate across mediums. Our analyses show that institutional, legislator, and district characteristics correspond with differential use of mediums. These findings underscore why medium choice matters, clarifying how a researcher's choice of mediums might amplify the voices of certain legislators and dampen those of others. In addition, they provide guidance to other researchers on how to select the medium(s) that best correspond with different research aims.

Violent hostility between ordinary partisans is undermining American democracy. Social media is blamed for rhetoric threatening violence against political opponents and implicated in offline political violence. Focusing on Twitter, I propose a method to identify such rhetoric and investigate substantive patterns associated with it. Using a data set surrounding the 2020 Presidential Election, I demonstrate that violent tweets closely track contentious politics offline, peaking in the days preceding the Capitol Riot. Women and Republican politicians are targeted with such tweets more frequently than men and non-Republican politicians. Violent tweets, while rare, spread widely through communication networks, reaching those without direct ties to violent users on the fringe of the networks. This paper is the first to make sense of violent partisan hostility expressed online, contributing to the fields of partisanship, contentious politics, and political communication.

We explore mediated representations of parties' campaign interactions in multi-party systems. Actors in multi-party systems can engage with different actors on multiple issues. One crucial aspect of such engagement is the element of negativity—voicing criticisms of other actors' actions and policy proposals. This contribution argues that the media systematically exaggerate patterns of negativity based on issue ownership structures, such that attacks originating from or targeting issue owners are significantly more likely to be covered. We analyze a broad sample of news content from the 2013 Austrian national election campaign with generalized exponential random graph models to capture the complexities of mediated campaign negativity in a multi-party system while controlling for non-mediated campaign negativity. The results show that issue owners are more likely to be featured as attackers and targets in owned policy domains, suggesting a violation of the normative ideal of a fair representation of campaign interactions.

Where do partisans get their election news in the contemporary media environment? We track the online news consumption of a national sample during the 2016 presidential campaign. We find levels of partisan isolation in news exposure are two to three times greater than in prior studies, although the absolute level of isolation remains modest. The partisan divide for election-related news exceeds the divide for non-political news. This tendency of partisans to follow like-minded news providers occurs despite the relatively small differences in the partisan slant of the content offered by the majority of sources they visited. Finally, we find that partisans who gravitated to congenial news providers did not shift their evaluations of the presidential candidates during the campaign.