Accountability and Affective Styles in Administrative Reporting: The Case of UNRWA, 1951–2020

Author:

Patz Ronny1,Thorvaldsdottir Svanhildur2,Goetz Klaus H3

Affiliation:

1. Hertie School

2. TU Munich

3. LMU Munich

Abstract

Abstract This contribution theorizes on the emergence of affective styles in the accountability reporting of public agencies. Under conditions of multiple accountability towards heterogeneous stakeholders, public agencies are expected to make increased use of sentiment in their reporting. Agencies’ differentiated modulation of positive and negative sentiment results in four ideal-typical affective styles: technocratic, political, alarming, and self-praising. The plausibility of this framework is demonstrated for the case of a major international public agency, the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), which serves several million Palestine refugees. We conduct a dictionary-based sentiment analysis of UNRWA annual reports published between 1951 and 2020, a corpus of 1.47 million words. Additional evidence from interviews with UNRWA officials and diplomats is also considered. Over time, the agency’s use of sentiment has increased in response to diversifying stakeholders and its affective style of reporting has changed repeatedly. Contrary to established theoretical expectations, multiple accountability not only increases positive reporting and self-praise. Rather, with increasing levels of negativity, the alarming and political styles of communication have played a much stronger role. These findings demonstrate that agencies’ chief goal in accountability reporting is not simply to elicit positive assessments from their respective accountability forums through self-praising language. Agencies may also aim to achieve “negativity congruence” with accountability forums by increasing negative sentiment, thus compelling stakeholders to acknowledge the operational challenges agencies face.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Oxford University Press (OUP)

Subject

Marketing,Public Administration,Sociology and Political Science

Reference103 articles.

1. Contextual string embeddings for sequence labeling;Akbik,2018

2. Machine learning for public administration research, with application to organizational reputation;Anastasopoulos;Journal of Public Administration Research and Theory,2019

3. A representative bureaucracy perspective on workforce composition in international organizations: The case of the United Nations Secretariat;Badache;Public Administration,2019

4. The mandate of UNRWA at sixty;Bartolomeusz;Refugee Survey Quarterly,2009

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3