Evidence map›Paper›PMID 39242893›Full record

ArticleCommunications psychology2024

E-contact facilitated by conversational agents reduces interethnic prejudice and anxiety in Afghanistan.

Sofia Sahab, Jawad Haqbeen, Rafik Hadfi, Takayuki Ito, Richard Eke Imade, Susumu Ohnuma, Takuya Hasegawa

Abstract read
In one paragraph

Article in Communications psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sofia SahabDepartment of Social Informatics, Kyoto University, Kyoto, Japan. sahab.sofia@i.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-5822-5021
Jawad HaqbeenDepartment of Social Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0002-0481-0196
Rafik HadfiDepartment of Social Informatics, Kyoto University, Kyoto, Japan.
Takayuki ItoDepartment of Social Informatics, Kyoto University, Kyoto, Japan.ORCID http://orcid.org/0000-0001-5093-3886
Richard Eke ImadeDepartment of International Cooperation Studies, Nagoya University, Nagoya, Japan.ORCID http://orcid.org/0000-0003-3036-3091
Susumu OhnumaDepartment of Behavioral Science / Center for Experimental Research in Social Sciences, Hokkaido University, Sapporo, Japan.ORCID http://orcid.org/0000-0001-8617-8667
Takuya HasegawaDepartment of Computer Science, Nagoya Institute of Technology, Nagoya, Japan.

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 22K17948MEXT | JST | Core Research for Evolutional Science and Technology (CREST) JPMJCR20D1
6 · The paper itself

Abstract

Intergroup contact occurring through indirect means such as the internet has the potential to improve intergroup relationships and may be especially beneficial in high conflict situations. Here we conducted a three-timepoint online experiment to ascertain whether the use of a conversational agent in E-contact platforms could mitigate interethnic prejudices and hostility among Afghanistan's historically segregated and persistently conflictual ethnic groups. 128 Afghans of Pashtun, Tajik, and Hazara backgrounds were assigned to one of four E-contact conditions (control with no conversational agent and three experimental groups that varied in the conversational agent settings). Participants in the experimental conditions contributed more ideas and longer opinions and showed a greater reduction in outgroup prejudice and anxiety than those in the control group. These findings demonstrate that E-contact facilitated by a conversational agent can improve intergroup attitudes even in contexts characterized by a long history of intergroup segregation and conflict.

Identifiers

PMID39242893
PMCPMC11332027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.