Philipp K. Masur
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masurphil.bsky.social
Philipp K. Masur
@masurphil.bsky.social
740 followers 430 following 27 posts

Associate Professor at VU Amsterdam | digital communication, privacy, social influence & media literacy | Director of the Digital Media and Behavior Lab - www.dmb-lab.nl | More on: www.philippmasur.de

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Political science 25%
Sociology 23%
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masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 2d
New publication with @ymeier.bsky.social!

Check out the threat below 👇🏼
ymeier.bsky.social Yannic Meier @ymeier.bsky.social · 3d
🚨Publication Alert🚨

New paper with @masurphil.bsky.social in Human Communication Research! In a longitudinal panel study, we connect chilling effects research with the concepts of privacy cynicism and critical privacy literacy: doi.org/10.1093/hcr/...

Short 🧵 about what we found👇
Screenshot of the title, author names, and abstract of the new publication in HCR.

Reposted by Philipp K. Masur

ymeier.bsky.social
Yannic Meier @ymeier.bsky.social · 3d
🚨Publication Alert🚨

New paper with @masurphil.bsky.social in Human Communication Research! In a longitudinal panel study, we connect chilling effects research with the concepts of privacy cynicism and critical privacy literacy: doi.org/10.1093/hcr/...

Short 🧵 about what we found👇
Screenshot of the title, author names, and abstract of the new publication in HCR.

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 5d
Not unexpected, but still shocking…
richardhuskey.bsky.social Richard Huskey @richardhuskey.bsky.social · Jan 2
When it comes to statistical power, how is Communication Science doing? Sun, Shen, Pan, and Quan’s article: “Toward a More Powerful Experimental Communication Science: An Assessment of Two Decades’ Research (2001–2023)” gives an answer. In short, not so good: doi.org/10.1177/0093...
A bar chart displaying the reporting of statistical power analysis by year from 2001 to 2023. The Y-axis shows the percentage of studies per category within each year, ranging from 0% to 75%. The X-axis represents years from 2001 to 2023. The chart is divided into five categories listed on the right: “A Priori,” “Sensitivity,” “Observed,” “Mention Only,” and “No Mention.” A Priori: Reporting is sparse before 2010 but increases steadily after 2017, peaking near 25% in recent years. Sensitivity: Reporting is minimal and sporadic across all years. Observed: Reporting is consistent but moderate, fluctuating around 10–25%. Mention Only: Reporting is infrequent and fluctuates around 5–10%. No Mention: Initially dominant but decreases over time, particularly after 2010. The chart highlights a trend toward increased A Priori power reporting and a decline in studies making no mention of power analysis, indicating evolving research practices over time. Table 2 summarizes the results from power analyses by study design, showing statistical power (median and range) and the percentage of studies at different power levels. The table includes data for four designs: Within-subject (k = 41), Two-group (k = 98), Multi-group (k = 93), and 2 × 2 Factorial (k = 184). The table shows that within-subject designs generally achieve higher statistical power, especially at larger effect sizes, while two-group and multi-group designs often fall below acceptable power levels, particularly for small effects. 2 × 2 factorial designs vary, with reversal effects showing higher power than attenuation effects. Overall, achieving adequate power remains a challenge in many designs, highlighting the need for careful study planning.

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Overall, our results differentiate norm inference from norm adoption and highlight behavioral prevalence as a stable normative driver. They also raise concerns about how visible peer behaviors may facilitate the diffusion of risky disclosure practices.

Link: osf.io/preprints/ps...

(9/end)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Reinforcement signals (likes and comments) showed no observable effect on norm formation or disclosure intentions. This challenges common assumptions about the centrality of engagement metrics in shaping behavior.

(8/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Similarity moderated these processes. Participants relied less on prevalence cues when evaluating similar others, yet similarity amplified the impact of norms once they were formed.

(7/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Written disclosure had a more limited role. It shifted norm perceptions modestly but did not meaningfully influence disclosure intentions, suggesting a modality-specific sensitivity to normative information.

(6/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
The findings were quite consistent: prevalence was the dominant mechanism. Higher levels of visual disclosure among peers led to stronger descriptive and injunctive norms, which in turn increased participants’ own disclosure intentions.

(5/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
We therefore developed a new platform called Travelgram, closely resembling Instagram. It simulated the full social media experience. Participants scrolled, posted, liked, commented and we manipulated what they saw.

(4/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Across two preregistered experiments (n=590; n=1337) using a ecologically valid, but simulated platform, we independently manipulated two elements: the prevalence of others’ disclosures and reinforcement via likes/comments. We further measured perceived similarity of other users.

(3/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
Building on my previous work (doi.org/10.1371/jour...), we argue that platforms are saturated with signals about what others do, and these signals structure users' own decisions to share.

(2/9)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · 6d
NEW PREPRINT 💡

Together with @dougaparry.bsky.social, I just published a new preprint experimentally examining how specific normative cues on social media shape self-disclosure using an innovative simulation approach.

Link: osf.io/preprints/ps...

Read on for more information (1/9) 👇

Reposted by Philipp K. Masur

nickmattis.bsky.social
Nicolas Mattis @nickmattis.bsky.social · Aug 26
New paper on algorithmic gatekeeping & news engagement out at JOC!

Lucien Heitz, @masurphil.bsky.social, @judith-moeller.bsky.social, @vanatteveldt.com & me ran a 1-week long field experiment to test if we can nudge people to read (and learn from) environmental news.

doi.org/10.1093/joc/...
Nudges for news recommenders: prominent article positioning increases selection, engagement, and recall of environmental news, but reducing complexity does not
Abstract. News aggregators inherently constitute choice architectures in which placement and presentation of news articles in the user interface affect how
doi.org

Reposted by Christian Pieter Hoffmann, Christoph Lutz, Shelley Boulianne , and 1 more

thinkmacro.bsky.social
Dima Epstein @thinkmacro.bsky.social · Aug 7
New special issue, "Comparative Approaches to Studying Privacy," edited by #CPRN is now published in Social Media + Society!

journals.sagepub.com/topic/collec...

w/ @lutzid.bsky.social, Lemi Baruh, Kelly Quinn, @masurphil.bsky.social, Carsten Wilhelm (comparativeprivacy.org)
journals.sagepub.com

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 11
Oh, this is old. I think I should revisit this. :D

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 7
Thanks, Cameron!

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 7
Thanks so much, Ye!

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 4
Using specification curve analyses, we show that this relationship is sensitive to analytical decisions, highlighting the importance of transparency and replication in survey-based privacy research.

(4/4)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 4
Only 32.5% of the original effects replicated exactly, though 67.5% were significant and in the expected direction. Interestingly, the widely reported negative link between privacy concerns and self-disclosure did not replicate—in our data, it turned positive.

(3/4)

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 4
Together with Giulia Ranzini, we closely replicated three foundational studies in privacy research:
🔹 Krasnova et al. (2010) on the privacy calculus
🔹 Vitak (2012) on context collapse
🔹 Dienlin & Trepte (2015) on the privacy paradox

(2/4)

Reposted by Peter Kerkhof

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jul 4
🎉 New publication out!

Really happy to share that our article “Privacy calculus, privacy paradox, and context collapse: A replication of three key studies in communication privacy research” is now published in the Journal of Communication.

Full article: doi.org/10.1093/joc/...

(1/4)
Privacy calculus, privacy paradox, and context collapse: A replication of three key studies in communication privacy research
Abstract. Since the advent of social network sites, researchers have investigated how and why users share personal information online. Yet, the replicabili
doi.org

Reposted by Philipp K. Masur

tobiasdienlin.com
Tobias Dienlin @tobiasdienlin.com · Jun 13
CAT Best Paper Award at #ica25: @masurphil.bsky.social with a study on norms on social media

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Apr 15
😊😊😊 #ica25
icacat.bsky.social The Communication & Technology Division of ICA @icacat.bsky.social · Apr 9
The Power of Others: A Qualitative Mixed-Method Study of Norm Adoption and Norm Adherence on Social Media
Philipp K. Masur @masurphil.bsky.social , Emma Diel
Communication Science, Vrije Universiteit Amsterdam, Haarlem, Netherlands
#ica25
The Power of Others: A Qualitative Mixed-Method Study of Norm Adoption and Norm Adherence on Social Media Philipp K. Masur, Emma Diel Communication Science, Vrije Universiteit Amsterdam, Haarlem, Netherlands

Reposted by Philipp K. Masur

icacat.bsky.social
The Communication & Technology Division of ICA @icacat.bsky.social · Apr 9
The Power of Others: A Qualitative Mixed-Method Study of Norm Adoption and Norm Adherence on Social Media
Philipp K. Masur @masurphil.bsky.social , Emma Diel
Communication Science, Vrije Universiteit Amsterdam, Haarlem, Netherlands
#ica25
The Power of Others: A Qualitative Mixed-Method Study of Norm Adoption and Norm Adherence on Social Media Philipp K. Masur, Emma Diel Communication Science, Vrije Universiteit Amsterdam, Haarlem, Netherlands

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Mar 13
Great PhD and PostDoc opportunity! Having worked with Tobias for years, I can only recommend applying!!! 👍👍👍
tobiasdienlin.com Tobias Dienlin @tobiasdienlin.com · Mar 3
I'm hiring! I'm looking for 1️⃣ pre-doc and 2️⃣ post-docs.

If you're fascinated by media effects, quantitative methods, and open science, please consider applying 🙂

International applications welcome!

Application Pre-doc: jobs.uzh.ch/job-vacancie...

Application Post-doc: jobs.uzh.ch/job-vacancie...
About the position • 3-year Ph.D. position (60%, paid according to cantonal salary scheme) • Can be extended by another 17 months • Workplace is Zurich What will be your main tasks? • Conduct a Ph.D. thesis in the field of communication, media psychology, and media effects • Publish in leading academic journals; present at conferences; engage in outreach • Teach courses on media effects, methods, and statistics at BA and MA levels • Take part in doctoral training programmes offered by UZH and IKMZ • Participate in organisational or administrative tasks as required What should you bring to the team? • Master’s degree in communication science, psychology, or a related discipline • Strong interest in research on media effects, including topics such as social media, well-being, privacy, AI, or media effects theory • Expertise in quantitative research methods • Proficiency in (or openness to learn) R, open science practices, and advanced statistics • Proficiency in English; knowledge of German is desirable but not mandatory What do we offer you? • Great background and support for high quality research • Much freedom to develop your own research interest within the topics of the division • Dynamic and supportive team with a collegial and inspiring working atmosphere • Excellent track record of the department in academic career development How to apply Please send the following documents as a single PDF file using UZH’s job portal (see link in post): • Letter of motivation (including ideas for your Ph.D. project; max. 2 pages) • Your CV (including a list of scientific publications and presentations, if applicable) • MA thesis or equivalent, research publications if already applicable • Copies of degrees and relevant transcripts Deadline for applications is March 16, 2025 Applications arriving later will also be considered if no candidate has been selected until then The position starts in April or by agreement About the position • 3-year postdoctoral position (80%, paid according to cantonal salary scheme) • One position can be extended up to 3 years, the other up to 6 years • Workplace is Zurich What will be your main tasks? • Conduct research in the field of communication, media psychology, and media effects • Lead your own projects and collaborate in team projects • Publish in leading academic journals; present at conferences; engage in outreach • Teach courses on media effects, methods, and statistics at BA, MA, and Ph.D. levels • Take part in supporting and training predocs at the division • Engage in third party funding activities • Participate in organisational or administrative tasks as required What should you bring to the team? • Doctoral degree in communication science, psychology, or a related discipline • Strong interest in research on media effects, including topics such as social media, well-being, privacy, AI, or media effects theory • Expertise in quantitative research methods • Proficiency in (or openness to learn) R, open science practices, and advanced statistics • Proficiency in English; knowledge of German is desirable but not mandatory What do we offer you? • Great background and support for high quality research • Much freedom to develop your own research interest within the topics of the division • Dynamic and supportive team with a collegial and inspiring working atmosphere Please send the following documents as a single PDF file using UZH’s job portal (see link in post): • Letter of motivation (including ideas for future research projects; max. 2 pages) • Your CV (including a list of scientific publications and conference presentations) • Full-texts of up to three sample publications & PhD dissertation • Copies of degrees and relevant transcripts Deadline for applications is March 16, 2025 Applications arriving later will also be considered if no candidate has been selected until then The position starts in April or by agreement

Reposted by Fabrizio Gilardi, Gregory Perreault, Amy Orben , and 2 more

tobiasdienlin.com
Tobias Dienlin @tobiasdienlin.com · Mar 3
I'm hiring! I'm looking for 1️⃣ pre-doc and 2️⃣ post-docs.

If you're fascinated by media effects, quantitative methods, and open science, please consider applying 🙂

International applications welcome!

Application Pre-doc: jobs.uzh.ch/job-vacancie...

Application Post-doc: jobs.uzh.ch/job-vacancie...
About the position • 3-year Ph.D. position (60%, paid according to cantonal salary scheme) • Can be extended by another 17 months • Workplace is Zurich What will be your main tasks? • Conduct a Ph.D. thesis in the field of communication, media psychology, and media effects • Publish in leading academic journals; present at conferences; engage in outreach • Teach courses on media effects, methods, and statistics at BA and MA levels • Take part in doctoral training programmes offered by UZH and IKMZ • Participate in organisational or administrative tasks as required What should you bring to the team? • Master’s degree in communication science, psychology, or a related discipline • Strong interest in research on media effects, including topics such as social media, well-being, privacy, AI, or media effects theory • Expertise in quantitative research methods • Proficiency in (or openness to learn) R, open science practices, and advanced statistics • Proficiency in English; knowledge of German is desirable but not mandatory What do we offer you? • Great background and support for high quality research • Much freedom to develop your own research interest within the topics of the division • Dynamic and supportive team with a collegial and inspiring working atmosphere • Excellent track record of the department in academic career development How to apply Please send the following documents as a single PDF file using UZH’s job portal (see link in post): • Letter of motivation (including ideas for your Ph.D. project; max. 2 pages) • Your CV (including a list of scientific publications and presentations, if applicable) • MA thesis or equivalent, research publications if already applicable • Copies of degrees and relevant transcripts Deadline for applications is March 16, 2025 Applications arriving later will also be considered if no candidate has been selected until then The position starts in April or by agreement About the position • 3-year postdoctoral position (80%, paid according to cantonal salary scheme) • One position can be extended up to 3 years, the other up to 6 years • Workplace is Zurich What will be your main tasks? • Conduct research in the field of communication, media psychology, and media effects • Lead your own projects and collaborate in team projects • Publish in leading academic journals; present at conferences; engage in outreach • Teach courses on media effects, methods, and statistics at BA, MA, and Ph.D. levels • Take part in supporting and training predocs at the division • Engage in third party funding activities • Participate in organisational or administrative tasks as required What should you bring to the team? • Doctoral degree in communication science, psychology, or a related discipline • Strong interest in research on media effects, including topics such as social media, well-being, privacy, AI, or media effects theory • Expertise in quantitative research methods • Proficiency in (or openness to learn) R, open science practices, and advanced statistics • Proficiency in English; knowledge of German is desirable but not mandatory What do we offer you? • Great background and support for high quality research • Much freedom to develop your own research interest within the topics of the division • Dynamic and supportive team with a collegial and inspiring working atmosphere Please send the following documents as a single PDF file using UZH’s job portal (see link in post): • Letter of motivation (including ideas for future research projects; max. 2 pages) • Your CV (including a list of scientific publications and conference presentations) • Full-texts of up to three sample publications & PhD dissertation • Copies of degrees and relevant transcripts Deadline for applications is March 16, 2025 Applications arriving later will also be considered if no candidate has been selected until then The position starts in April or by agreement

Reposted by Wouter van Atteveldt, Philipp K. Masur

what-if-horizon.bsky.social
WHAT-IF @what-if-horizon.bsky.social · Feb 3
Hello world! Meet our consortium—15 organizations, 10 countries—joining forces to rethink the digital political information space. 🚀

Last week, we kicked off our project WHAT-IF, setting the stage to build a digital twin that will help us test the impact of policy interventions.

More in the 🧵!
Picture of the WHAT-IF project consortium at the kick-off meeting in Amsterdam

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jan 28
New PhD students: This is a great opportunity to get feedback on your project as well as meet other PhD buddies! 👇
germanneubaum.bsky.social German Neubaum @germanneubaum.bsky.social · Jan 27
👩‍🎓👨‍🎓📱💻 🤖You are a PhD student in Media Psychology? Then, this PhD Workshop is waiting for you! If you are interested in receiving feedback on your writing, presentation style, career planning and much more from mentors and PhD peers - please apply for this preconference! www.uni-due.de/media-psych-...
Call for Papers
www.uni-due.de

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jan 28
(4) analyzing how these units interact to shape privacy expectations, policies, and behaviors.

The paper resulted from discussion within the comparative privacy research network. For more info, check out: comparativeprivacy.org
Comparative Privacy Research Network
comparativeprivacy.org

masurphil.bsky.social
Philipp K. Masur @masurphil.bsky.social · Jan 28
...whether privacy concepts are truly comparable across different contexts, (3) identifying meaningful units of comparison beyond national boundaries—exploring cultural, social, political, technological and economic units of comparison—and ...