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Who’s to Blame? Post-conflict Violence, Political Messaging, and Attitudes Towards Peace Agreements

Published online by Cambridge University Press:  27 February 2025

Frank Wyer*
Affiliation:
Naval Postgraduate School, Monterey, CA, USA
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Abstract

How do episodes of post-conflict violence affect public support for peace? I argue that political messaging about who or what is to blame can influence how violence affects attitudes towards peace agreements. I test this argument in Colombia, a country which has experienced violence after a 2016 peace agreement, and where rival political camps debate whether government failures or noncompliance by rebels is to blame. In an experiment with 1466 respondents in conflict and non-conflict zones, I paired news about post-conflict violence with information supporting these competing messages. I find that emphasizing rebel culpability reduced support for peace agreements, but emphasizing poor government implementation did not have a strong countervailing effect. A probe of the mechanisms suggests that while emphasizing rebel culpability increased perceptions that rebels alone were to blame, emphasizing government implementation failures led respondents to conclude that both parties were to blame, limiting the effectiveness of this message.

Information

Type
Letter
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Treatment texts

Figure 1

Figure 1. Main treatment effects.Notes: The three main outcomes are scaled relative to the control group. The peace attitudes index is a z-score index of the three main outcomes. Models are estimated using the controls described in the text, with HC2 standard errors. Bars represent 90 per cent and 95 per cent CIs.

Figure 2

Figure 2. Stronger effects of rebel culpability treatment in former FARC territory.Notes: Models are estimated using the controls described in the text, with HC2 standard errors. Bars represent 90 per cent and 95 per cent CIs.

Figure 3

Figure 3. Effects of treatments on beliefs about compliance and implementation.Notes: Models are estimated using the controls described in the text, with HC2 standard errors. Bars represent 90 per cent and 95 per cent CIs.

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