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 Ohio, 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.
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.
Wave Dashboard
Interactive MRP estimates of American public opinion for every state and congressional district, from Wave's MOSAIC model.
Full Transcript: Michigan Democratic Senate candidate Abdul El-Sayed
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MiMo-V2.6 | Xiaomi
Introducing the MiMo-V2.6 series: frontier intelligence, all the modalities, built in public.
Gap Week: March 20, 2026
Hey folks! I was traveling this week to give an invited talk at Western Michigan University, so I don’t have a blog post ready for you. That’ll also probably be the case for next week (…
Gap Week: March 20, 2026
Hey folks! I was traveling this week to give an invited talk at Western Michigan University, so I don’t have a blog post ready for you. That’ll also probably be the case for next week (…
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