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Academia

Academia
Cluster: People And Institutions
Political institutions and formal organizations (e.g., congress, courts, UN, EU).
Tagged articles: 9
Related in People And Institutions
Articles Tagged "Academia"
Teaching and Learning
After Musk Took Over, Academics Tweeted Less—Verified Users Cut Original Posts
Article summary

Twitter has served as a central forum for academics to communicate with colleagues, policymakers, and the public. Elon Musk's takeover brought broad changes to the platform—reduced public data access, shifts in moderation and misinformation policy, and altered platform affordances. This study asks a narrow empirical question: how did those changes affect academic activity on Twitter?

Teaching and Learning
Top Political Scientists Are Doing Less Peer Review Since the Pandemic
Article summary

By many accounts, the state of peer reviewing is under strain: editors report difficulty getting scholars to respond to review requests, let alone accept and complete reviews on time. Earlier, pre-pandemic work (Djupe 2015; Djupe, Smith, and Sokhey 2022) found that reviewing was heavily concentrated in a core set of reviewers, that reviewing rose with age and rank, and that political scientists broadly affirmed the value of peer review for themselves and the discipline.

Teaching and Learning
Women Are Underrepresented in Political Theory—Not Less Visible in Top Journals
Article summary

Political science publishing remains male-dominated: a random political science journal article is roughly twice as likely to be written by a man. Many questions about where women are present or absent in the discipline remain unanswered—across journal prestige, coauthorship patterns, and subfields.

Teaching and Learning
Why Women Academics Tweeted Fewer Career Wins During the Pandemic
Article summary

Has the pandemic worsened gender inequality in academia? This analysis uses 1.8 million tweets from roughly 3,000 political scientists to track professional visibility on social media—an important channel for career advancement—and to observe how behavior changed as work moved online.

Teaching and Learning
Why Women Publish Less in Italian Political Science — Editors Play a Role
Article summary

This study asks whether the gender gap documented in international political science publishing also exists within Italian political science. To avoid cross-country comparability problems common in prior work (which often compares U.S. publication rates to U.S. workforce data), a single-country approach is used to evaluate whether a ‘‘glass-ceiling’’ persists for political scientists who aim to publish their research.

Teaching and Learning
Race, Not Gender, Predicts Quantitative Confidence Among Political Science PhD Students
Article summary

Most prior work on diversity in political methodology centers on gender and often overlooks racial and ethnic differences. This study examines how race/ethnicity and gender relate to political science PhD students' methodological self-efficacy—especially quantitative self-efficacy—and to their broader academic self-efficacy.

Teaching and Learning
Competition Helps Top Scholars but Harms Others in Italian Academia
Article summary

This study examines career concerns in Italian academia by modeling academic promotion as a contest. The theoretical framework uses the standard contest model formalized as a multiunit all-pay auction. In this framework, the following parameters determine academics' effort and output:

Teaching and Learning
Does Gender Bias Explain Publication Disparities? New Survey Challenges Existing Explanations
Article summary

New research explores the gender gaps in perceptions of political science journals. While studies suggest a gender publication gap, this survey reveals that perceived biases vary across different journals. Both male and female scholars report differing views on where their work is likely to succeed.

Teaching and Learning
Do Female-Authored Papers Get Fewer Citations?
Article summary

This study complements Dion, Sumner, and Mitchell (2018) by shifting focus from whether articles cite female-authored work to how often articles written by women are cited. The analysis examines citation counts for articles in the Dion et al. dataset, conditional on an article having at least one female author.