Identity in journalism: Evidence from News Reporting of Violence Against Women

Last registered on February 18, 2026

Pre-Trial

Trial Information

General Information

Title
Identity in journalism: Evidence from News Reporting of Violence Against Women
RCT ID
AEARCTR-0017870
Initial registration date
February 10, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
February 18, 2026, 5:48 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Harvard University

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2026-02-11
End date
2026-03-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project investigates how journalists' identities shape news content and to what extent they affect readers' attitudes and behavior. In particular, it aims at investigating the effect of female- and male-like reporting about violence against women on readers. For this purpose, I will conduct an online experiment with Italian respondents recruited on survey platforms like Prolific and Bilendi. I will show them the same newspaper article about crimes involving the murder of a woman by her partner and randomize the narratives they will see at the end of the article, focusing on thematic vs. episodic framing and perpetrator-centered vs. victim-centered narratives. Finally, I will collect outcomes about respondents' attitudes towards the crime, preferences for government intervention, perceptions of violence and help-seeking, and engagement with the article.
External Link(s)

Registration Citation

Citation
Marangon, Claudia. 2026. "Identity in journalism: Evidence from News Reporting of Violence Against Women." AEA RCT Registry. February 18. https://doi.org/10.1257/rct.17870-1.0
Experimental Details

Interventions

Intervention(s)
This project aims to investigate whether gender differences in reporting about violence against women also translate into changes in readers' preferences and behavior, by examining readers' attitudes, policy preferences, and engagement as outcomes using an online experiment with Italian respondents. The intervention is an information treatment that entails showing respondents a snippet from a newspaper article about the murder of a woman at the hands of her partner, in which I randomize the presence of different narratives coming from real newspaper articles, that mimic female-like and male-like writing.

Intervention Start Date
2026-02-11
Intervention End Date
2026-03-31

Primary Outcomes

Primary Outcomes (end points)
Empathy towards the victim and perpetrator, preference for government intervention (measured through petition signing), perceived prevalence of help-seeking behavior and crime incidence
Primary Outcomes (explanation)
There are three sets of primary outcomes. The first set aims at measuring attitudes towards the perpetrator and the victim of the crime:
- Empathy: I use an empathy thermometer to capture empathy towards the victim and the perpetrator on a scale from 0 (no empathy) to 100 (max empathy)

The second set of outcomes focuses on preferences for government intervention related to these crimes
- Petition signing: a binary outcome that measures respondents' willingness to sign a petition supporting government intervention to counter violence against women. To protect respondents' anonymity while still making it realistic, I inform participants that I will communicate the share of respondents who signed the petition to the Parliamentary Commission on Femicide and any form of Gender-Based Violence.

The last set of outcomes aims at capturing perceptions about the incidence of gender-based violence-related crimes and help-seeking behavior.
- Perceived prevalence of help-seeking behavior: I will ask the prevalence of calls to the dedicated helpline number and reports to the police about domestic violence and stalking for each 10000 women in the province of the respondents. I will provide respondents with monetary incentives to answer the question correctly. I am interested in how much their perception deviates from the true value. Therefore, I will calculate the difference between their perception and the true value and standardize it to have mean of 0 and standard deviation of 1.
- Perceived crime incidence: I will ask respondents for their best guess about the prevalence of domestic violence and stalking for each 10000 women in the province where they live. I cannot provide any monetary incentive for this question since there is no data on real crime incidence. Consequently, in this case, I cannot compute deviations from the true value, so I will simply standardize the outcome.

Secondary Outcomes

Secondary Outcomes (end points)
Fairness of compensation and punishment, engagement
Secondary Outcomes (explanation)
The first part of secondary outcomes still focuses on the perceptions of the crime and will allow me to provide additional insights and contribute to the interpretation of the effect of the treatments on the primary outcomes.

- Fairness of Compensation: I ask respondents whether they think the compensation by the Ministry of Justice was too low or too high on a scale from 0 to 10, which I will then standardize to have mean of 0 and standard deviation of 1.
- Fairness of punishment: perceived fairness of the sentence length given to the perpetrator on a scale from 0 to 10, which I will then standardize to have mean of 0 and standard deviation of 1.

The last set of outcomes is motivated by previous conversations with journalists, who have precise priors about which reporting practices lead to higher engagement. Therefore, this part aims at understanding the levels of engagement with the newspaper articles and the newspaper itself. These outcomes will not be part of the main hypothesis testing, as they do not address the primary research question.

- Interactions on social media: I will ask respondents how they would react to the article if they saw it on social media (like, dislike, share, report, or nothing)
- Preference for news outlet:
1. I ask them if they would use the newspaper as a source of information for crime articles (binary outcome)
2. I allow them to interact with the newspaper as they would on a news website. Specifically, I include links to other articles and monitor whether they click on them.
3. I will show respondents all the variation of the article and ask them which they would prefer to read in a newspaper.

Experimental Design

Experimental Design
The experiment will be run entirely online and administered through the survey platforms Prolific and Bilendi on a sample of Italian respondents, February 11 and March 31, 2026. The recruitment will remain open until either the target number of participants is reached or the end date. The final sample will be randomly split into four groups, with each group comprising 25% of the respondents and seeing a different version of the crime article. These articles are designed starting from real newspaper articles about murders of women, where the names have been changed to protect the identity of the victims.
Experimental Design Details
Not available
Randomization Method
Randomization done by Qualtrics.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1500 to 2000 respondents
Sample size: planned number of observations
1500 to 2000 respondents
Sample size (or number of clusters) by treatment arms
375 to 500 respondents
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
- empathy: 3 percentage points, corresponding to 0.2 S.D. and 43% of the baseline - petition signing: 10 percentage points, corresponding to 0.21 S.D. and 15% of the baseline - Preceived help seeking: 435 calls out fo 10000 women, corresponding to 0.206 S.D. and 22% of the baseline
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard University Committee on the Use of Human Subjects
IRB Approval Date
2026-01-27
IRB Approval Number
IRB25-1354
Analysis Plan

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