The Marist Institute for Public Opinion (MIPO) is a survey research center. MIPO is home to the Marist Poll and conducts polls on politics, the economy, sports, technology and more at the local, state, and national level.
Midterm Elections in Michigan, September 2026
The Marist Institute for Public Opinion (MIPO) is a survey research center. MIPO is home to the Marist Poll and conducts polls on politics, the economy, sports, technology and more at the local, state, and national level.
Midterm Elections in Maine, October 2026
The Marist Institute for Public Opinion (MIPO) is a survey research center. MIPO is home to the Marist Poll and conducts polls on politics, the economy, sports, technology and more at the local, state, and national level.
Opinion | This Is What Will Ruin Public Opinion Polling for Good
Instead of navigating the obstacles to conduct polls with human respondents, pollsters are running A.I. simulations instead. Why?
Polls For ActivityPub Plugin — WordPress.com
This plugin works as an addon to the WordPress ActivityPub plugin. It brings lightweight polls to your WordPress site that reach the Fediverse. The polls are fully interoperable with platforms like Mastodon.
FiftyPlusOne - Latest Political Polls and Averages
A comprehensive list of polls and polling averages for elections and politician approval.
FiftyPlusOne - Latest Political Polls and Averages
A comprehensive list of polls and polling averages for elections and politician approval.
Shifts in U.S. Social Media Use, 2020-2024: Decline,...
Using nationally representative data from the 2020 and 2024 American National Election Studies (ANES), this paper traces how the U.S. social media landscape has shifted across platforms,...
Wave Dashboard
Interactive MRP estimates of American public opinion for every state and congressional district, from Wave's MOSAIC model.
Do AI and bogus respondents threaten polling’s future?
Courtney Kennedy, vice president of methods and innovation, answers some common questions about the current polling landscape in the U.S.
Polls For ActivityPub
Fediverse compatible polls. The development of this plugin was funded by the NGI0 Core Fund, a fund established by NLnet.
Contextualizing the 2024 Election: It's the (Knowledge) Economy, Stupid
The urban v. rural divide, the gender divide and the diploma divide are all proxies for the most fundamental division in contemporary U.S. politics
NYTimes/Siena Poll of Likely Voters
Toplines Crosstabs MI Toplines MI Crosstabs NH Toplines NH Crosstabs ME Toplines ME Crosstabs
Simulating Aggregate Electoral Opinion Trajectories with LLM Personas and Media Exposure
LLM-based election simulation has largely been evaluated against a single final outcome, in many cases neglecting how much it can recover the trajectory shaped by media exposure and shifting candidate support. We propose evaluating election simulations in terms of trajectory fidelity: whether persona-conditioned LLM agents can update their beliefs in response to media to reproduce the temporal movement of public opinion, both in aggregate and across demographic subgroups. We design a framework in which each LLM agent carries its belief across time and updates it as new campaign information arrives. We further investigate how performance can vary across simulation design choices such as media exposure model, election context, and survey questionnaire. In a study on the 2026 Seoul mayoral and local elections, we validate simulated trajectories against weekly public-opinion polls and find that simulations that carry prior beliefs across time—rather than simulating each poll date independently—substantially improves alignment with observed polling movement, while the way media exposure is personalized leaves aggregate movement largely intact but reshapes subgroup-level dynamics. We propose a framework for validating simulated opinion trajectories against real-world traces, and discuss the simulation design choices that can influence the performance.
I have high hopes for @mu.social as a proving ground for democratic social media, given ample support from the atmosphere community. With the help of civilized-discourse expert @jonathanwarden.com we can have Community Notes on atproto, starting with mu.
Mu for democracy
notes.erlend.sh