Ismaharif I.

@ismaharif.bsky.social

PhD Candidate @ UCSB || Media Effects, Intergroup Relations, Identity, Motivation I study (meta)interventions and how to bridge social divides. I also dabble in psychometrics, latent variables and computational methods. https://linktr.ee/ismaharif

Most of the statistical tests you learned in stats class — t-test, ANOVA, correlation — are actually special cases of a single thing: linear regression. Ch 7 of Experimentology argues that thinking in models, not tests, is more flexible and a better foundation for theory. 🧵 experimentology.io

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Honored to receive the Putnam Interdisciplinary Scholar Award from the department for the work I do! I’m grateful to my mentors, colleagues and friends who have supported and challenged me along my career to be both social psychologist and communication scientist! 🎉 #commsky #ucsb #nusingapore

Media MOSAIC Lab@mediamosaiclab.bsky.social · 2mo ago

We’re excited to share that our lab member @ismaharif.bsky.social has received the Putnam Interdisciplinary Scholar Award from the UCSB Department of Communication! We're so proud to see his interdisciplinary research intersecting communication and psychology recognized through this award! 🎉🤝

Excited for #ICA26 starting today! Do check out our lab's @yqpan.bsky.social @ismaharif.bsky.social @stephanieherrera.bsky.social work on identity threats, emotions and media framing if you're in town! 💻💬🌍 #ICA2026 #ICA26 #commsky #psych

Media MOSAIC Lab@mediamosaiclab.bsky.social · 2mo ago

📢 #ICA2026 is in a few days! If you’re at Cape Town, check out some of the ongoing work by our lab members @yqpan.bsky.social @ismaharif.bsky.social @stephanieherrera.bsky.social Details of our upcoming talks are in the comments [1/4] #commsky #ucsb

Identity Map 2.0 is now live. 🎉 Map your identities, visualize how they overlap, and get a personalized complexity score. The new version also measures how much your political identity influences the rest of your worldview, helping reveal potential biases you may not have noticed.

The Groups You Belong to Are Shaping What You Believe. Here's How to See It.

My free Identity Map tool is updated: see how your social groups could make you vulnerable to believing misinformation.

matthewfacciani.substack.com

✨New paper out @nature.com ✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we built ourselves. Do engagement-based algorithms amplify intergroup, moral & emotional (IME) content—and does that distort how we see political norms? 🧵🔗 👇

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Our newest paper presents a novel and accessible approach using LLMS to analyze texts for positive (national identification, patriotism) & defensive (nationalism, national narcissism) national identities We tested 13 million words from social media, surveys, and political speeches in 25 languages.

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Do check out @nibasaleem.bsky.social talk tomorrow if you're attending PRIEC at @ucsantabarbara.bsky.social! 📅 May 8 | 1:30–2:50 PM (PT) 📍 HSSB 6020, UC Santa Barbara

Media MOSAIC Lab@mediamosaiclab.bsky.social · 3mo ago

Join us next week at the Politics of Race, Immigration, and Ethnicity Consortium (PRIEC) this year for an upcoming talk by @nibasaleem.bsky.social on how media representations shape intergroup relations and migration! 📅 May 8 | 1:30–2:50 PM (PT) 📍 HSSB 6020, UC Santa Barbara

New paper— everyone is collecting intensive longitudinal data but recent review studies report that less than half of studies consider measurement/psychometrics. The paper covers a few foundational psychometric methods for ILD and provides a shiny app to apply them link.springer.com/article/10.3...

A primer on intensive longitudinal psychometrics - Behavior Research Methods

Many intensive longitudinal studies are interested in topics that are not always amenable to direct physical measurement and instead are often theorized as latent constructs (e.g., affect, emotion, mo...

link.springer.com

Climate change impacts are here, but public support for action remains polarized. Which climate messages move people? In a ~13,500-person megastudy, we tested 10 of the most-cited messages. Six increased pro-environmental attitudes in the U.S.—but only by 1–4 percentage points. 🧵

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🚨New Working Paper!🚨 How do Americans mentally map political coalitions? We often talk as if U.S. politics is just two sorted camps. But when people think about which groups go with which, the picture is more complicated. 🧵👇

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🚨New WP: Can an AI voter guide (grounded in information from a nonpartisan, fact-checked source) help voters’ decision making? 🚨 We built and evaluated an LLM-based chatbot that provided voting info in CA & TX (N=2,474) right before the 2024 election. 🧵👇

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Can large language models stand in for human participants? Many social scientists seem to think so, and are already using "silicon samples" in research. One problem: depending on the analytic decisions made, you can basically get these samples to show any effect you want. THREAD 🧵

The threat of analytic flexibility in using large language models to simulate human data: A call to attention

Social scientists are now using large language models to create "silicon samples" - synthetic datasets intended to stand in for human respondents, aimed at revolutionising human subjects research. How...

arxiv.org

New in HCR: Zhu et al. (2026) find that larger choice sets increased overall and cross-cutting news selection. Choice set composition shaped cross-cutting exposure, but attitudes and behavioral intentions did not significantly change in the short term. Read: doi.org/10.1093/hcr/...

The power of context: how choice set size and composition influence overall and cross-cutting news exposure

Abstract. In times of diverse media choices, the context in which choices are made can influence news exposure and opinion change. Inspired by the marketin

doi.org