iiinova — where your digital self keeps evolving

Louis Teitelbaum @louisteitelbaum.bsky.social · 11/11/2025

If you're a psychologist working with text data in R, this package is for you.

Reposted by Louis Teitelbaum

Almog Simchon @almogsi.bsky.social · 28/10/2025

This project wouldn’t have come together without the amazing team -- Tomer Zipori and @louisteitelbaum.bsky.social for the heavy lifting and computational analysis, @lewan.bsky.social for his insight, and @profsanderlinden.bsky.social whose vision made this possible. Truly grateful for this!

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Reposted by Louis Teitelbaum

Mikey Biddlestone @mikeybiddlestone.bsky.social · 21/08/2025

Our article "Norm-enhanced prebunking for actively open-minded thinking indirectly improves misinformation discernment and reduces conspiracy beliefs" has now been published open access in JESP! @rakoenmaertens.bsky.social @profsanderlinden.bsky.social authors.elsevier.com/sd/article/S00… 🧵👇

authors.elsevier.com

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Louis Teitelbaum @louisteitelbaum.bsky.social · 24/06/2025

New conceptual review + tutorial on text embeddings out in #APA_Journals w/ @almogsi. Beginner-friendly, but experts will find spicy new takes as well. Tag a colleague who’s still counting words... #RStats #tidyverse #quanteda 1/

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Louis Teitelbaum @louisteitelbaum.bsky.social · 14/04/2025

Word embeddings are still the right tool for studying words.

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Reposted by Louis Teitelbaum

Sonia Murthy @soniakmurthy.bsky.social · 10/02/2025

(1/9) Excited to share my recent work on "Alignment reduces LM's conceptual diversity" with @tomerullman.bsky.social and @jennhu.bsky.social, to appear at #NAACL2025! 🐟 We want models that match our values...but could this hurt their diversity of thought? Preprint: arxiv.org/abs/2411.04427

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Reposted by Louis Teitelbaum

Fabio Carrella @fabiocarrella.bsky.social · 06/02/2025

How politicians communicate shapes online discourse in ways we might overlook. Our new paper shows that their choice between a fact-based (evidence-driven) and a belief-based (sincerity-driven) honesty creates a "contagion" effect, influencing how users engage and respond. ⬇️(1/8)

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Reposted by Louis Teitelbaum

Mattan S. Ben-Shachar @mattansb.msbstats.info · 30/01/2025

This week I finished teaching my mixed models #stats course @ BGU university! You can find all the updated #rstats and #lme4 related materials here: github.com/mattansb/Hierarchical-Linear-Models-foR-Psychologists

github.com

GitHub - mattansb/Hierarchical-Linear-Models-foR-Psychologists

Contribute to mattansb/Hierarchical-Linear-Models-foR-Psychologists development by creating an account on GitHub.

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Reposted by Louis Teitelbaum

Jon Green @jongreen.bsky.social · 21/01/2025

Extremely happy to share that "Curation Bubbles" is online (open access!) at @apsrjournal.bsky.social: www.cambridge.org/core/journal...

Title: Curation Bubbles
Abstract: Information on social media is characterized by networked curation processes in which users select other users from whom to receive information, and those users in turn share information that promotes their identities and interests. We argue this allows for partisan “curation bubbles” of users who share and consume content with consistent appeal drawn from a variety of sources. Yet, research concerning the extent of filter bubbles, echo chambers, or other forms of politically segregated information consumption typically conceptualizes information’s partisan valence at the source level as opposed to the story level. This can lead domain-level measures of audience partisanship to mischaracterize the partisan appeal of sources’ constituent stories—especially for sources estimated to be more moderate. Accounting for networked curation aligns theory and measurement of political information consumption on social media.

Figure 1: Stylized Examples
a) Users consuming information directly from sources
b) Users curating information for other users

Figure 4: URL Scores by Share Volume for Selected Domains on Twitter and Facebook

Figure 8: Proportion of URLs Substantively Distinct from Domain for Different Facebook Engagement Types

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Reposted by Louis Teitelbaum

Almog Simchon @almogsi.bsky.social · 26/01/2025

Our paper is finally out!

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Reposted by Louis Teitelbaum

Tobias Gerstenberg @tobigerstenberg.bsky.social · 23/01/2025

🔊 New paper just accepted in JPSP 🥳 In "Inference from social evaluation", we explore how people use social evaluations, such as judgments of blame or praise, to figure out what happened. 📜 osf.io/preprints/ps... 📎 github.com/cicl-stanfor... 1/6

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