Sexism as a normative cue: How target and gender shape reactions to sexist comments in online political discussions

ECC2026, ECREA Political Communication Section

Sabine Reich & Marko Bachl

U Bremen & FU Berlin

2026-09-11

Introduction and hypotheses

Introduction

  • Gender gap in (visible) online participation
  • Online hate disproportionately targeting public women and female social media users
  • Gender gap as result of self-censorship to avoid backlash?
  • Social norms perspective: Sexist online commenting culture creates communicative norms that alienate and frighten women and differentially decrease their participation.
  • Norms particularly obtrusive if signaled to socially close or similar persons.

Hypotheses

Outcomes

  • Perceived injunctive norm (H1): Women not welcome

  • Expected sanctions (H2): Consequences if participating

  • Discoursive participation (H3): Like, comment, report

Contrasts

  • Sexism effect (a): Exposure to sexist comments (vs. neutral comments)

  • Gendered sexism effect (b): Stronger sexism effect for women than for men

  • Target interaction for women (c): Among women, stronger sexism effect if target is socially close woman (fellow user) than a more distant woman (politician).

  • Target interaction comparing women and men (d): Effect of sexism targeting a female social media user (vs. a more distant female politician) stronger for women compared to men.

Methods

Methods

  • Design and sample: Within-subject randomized experiment with n = 604 (nfemale = 306) participants (Prolific, German social media users, age 18–59) reacting to m = 8 social media posts (invented, Tagesschau, gender and women’s rights issues) in 2 (comments: sexist v benign) by 2 (target: female politician v female social media user)
    • 128 stimuli [8 news posts * (4 sexists comments versions + 4 benign comment versions) * 2 targets]
    • Sexist comment sets selected from a pretest of 25 comments, n = 100 participants
    • Identification with targets tested for last stimulus; more identification with user than politician, but no gender difference.
  • Outcomes: One-item measures on 1–7 scales, higher values indicating stronger agreement or higher likelihood
    • Perceived injunctive norm (H1): “I have the impression that women are not welcome in this discussion.”
    • Expected sanctions (H2): “I fear to be attacked if I would comment on the post.”
    • Discoursive participation (H3): How likely is it that you would … … like the post?, comment, … write a comment in this discussion?, … report one of the last three comments as inappropriate?

Results

Predicted values: Norm perceptions (H1–H2)

Predicted values: Participation intentions (H3)

Sexism effect (a)

Gendered sexism effect (b)

Target interaction for women (c)

Target interaction women v men (d)

Discussion

Discussion

  • Sexist attacks against female actors set communicative norms, marking these spaces as hostile.
    • Decrease participation intentions for both men and women
    • Particularly frighten women and deter them from participating.
  • Target made no (gender-specific) difference.
  • Should norm violations be considered differently depending on whether their target is a public or private person? From the perspective of deteriorating effects on (female) participation, probably not.

Questions & Comments?

References

Reich, S., & Bachl, M. (2023). Do sexist comments hinder participation in online political discussions? Journal of Media Psychology, 35(6), 355–361. https://doi.org/10/gth3fs
Reich, S., & Bachl, M. (2026). When sexism becomes the norm: The effect of sexism on women’s participation in political online discussions. Communication Research, 53(6), 844–866. https://doi.org/10/g9qbvk