| 1,376 | 0 | 650 |
| 下载次数 | 被引频次 | 阅读次数 |
与人工服务相比,算法驱动的智能政务服务既有优势,又有不足,一定程度上导致了算法欣赏与算法厌恶并存的现象。因此,为探究智能政务服务相比人工服务的相对绩效信息对公众信任的影响,本文基于个体工商户“秒批”改革这一现实案例,开展两项调查实验,以传统人工服务作为参照点,实证检验智能政务服务的相对绩效信息对公众信任(包括算法信任和政府信任)的影响及作用机制。研究发现如下。(1)信息面向会显著影响相对绩效信息对公众信任的作用,仅呈现智能政务服务相对优势的单面相对绩效信息不会显著影响公众算法信任和政府信任,而同时呈现智能政务服务相对优势与不足的双面相对绩效信息则显著降低了公众信任。(2)尽管双面相对绩效信息对公众信任的直接效应为负,但其仍能通过提升主观绩效认知间接提升公众信任,这表明理性认知对绩效信息作用具有重要影响。(3)在确认偏差与反确认偏差的双重影响下,公众对人工智能的乐观倾向增强了单面相对绩效信息的正向影响,削弱了双面相对绩效信息的负向影响。上述发现丰富了智能政务服务场景中的绩效信息研究,揭示了理性与非理性因素对公众绩效信息处理的共同作用,凸显出智能政务服务推广过程中信息沟通策略的重要性。
Abstract:The proliferation of AI-enabled public services has reshaped administrative processes and citizen-state interactions, yet public trust in such services remains ambivalent. This study examines how message-sidedness—i.e., whether performance information about AI-enabled public services presents only advantages(one-sided messages) or both advantages and disadvantages(two-sided messages)—influences public trust in the services and government agencies. Drawing on the real-world case of the “instant approval” reform for individual business registration in China, we conducted two survey experiments using traditional manual service as the benchmark.Our empirical findings are threefold. First, message-sidedness significantly affects the persuasive power of relative performance information. One-sided messages, which only highlight efficiency gains of AI services, fail to significantly alter trust in either the services or the government. In contrast, two-sided messages—reporting both shorter processing times and decreased accuracy—significantly reduce trust, suggesting a potential negative bias effect.Second, we identify the dual role of rational cognition and cognitive biases in citizens' performance information processing. Although two-sided messages directly reduce trust, they also improve perceived performance knowledge, which indirectly enhances trust. This mediation effect indicates that rational cognition may partly offset the detrimental impact of negative disclosures. Thus, public trust in AI-enabled services is jointly shaped by reasoned judgment and affective heuristics.Third, we examine confirmation bias via citizens' pre-existing attitudes toward artificial intelligence. Those with higher optimism toward AI are more receptive to positive one-sided messages and less reactive to negative content in two-sided messages. This confirms that prior beliefs systematically moderate the impact of performance communication, underscoring the relevance of tailored messaging. Interestingly, when AI optimism is operationalized specifically as support for government adoption of AI, it paradoxically weakens the trust-enhancing effect of one-sided messages—likely due to heightened expectations and greater disappointment in the face of incomplete information.These results contribute to the growing literature on behavioral public administration by integrating performance management, trust theory, and information processing perspectives. We extend prior research by unpacking how the format and framing of relative performance information, rather than its valence alone, condition citizens' evaluations of AI-enabled services. Practically, the findings imply that governments should abandon one-sided, overly promotional communication strategies when introducing AI reforms. Instead, phased and audience-sensitive messaging—highlighting strengths while transparently acknowledging risks—can both foster trust and prevent future backlash. Moreover, enhancing digital literacy and addressing variation in AI attitudes across subgroups will be essential to securing public legitimacy in the era of algorithmic governance.
樊博,李晶晶.2024.算法透明何以提升公众的政府信任?[J].公共行政评论,17(1):4-24.Fan B,Li J J.2024.Can algorithmic transparency enhance citizen trust in government?[J].Journal of Public Administration,17(1):4-24.(in Chinese)
高学德,王镇江.2024.危机沟通策略对地方政府信任的影响研究[J].公共管理评论,6(3):76-98.Gao X D,Wang Z J.2024.How does a government crisis communication strategy affect public trust in local government?Evidence based on a survey experiment[J].China Public Administration Review,6(3):76-98.(in Chinese)
李晓方,王友奎,孟庆国.2020.政务服务智能化:典型场景、价值质询和治理回应[J].电子政务,(2):2-10.Li X F,Wang Y K,Meng Q G.2020.Intelligent government services:Typical scenarios,value inquiry,and governance responses[J].E-Government,(2):2-10.(in Chinese)
李晓倩,戴乐融,刘小雨.2022.实验方法在公共管理研究中应用的最新进展---基于国际期刊发表(2017-2021)的系统性文献综述[J].公共管理与政策评论,11(4):151-168.Li X Q,Dai L R,Liu X Y.2022.The application of experimental methods in public administration research:A systematic literature review of international publications(2017-2021)[J].Public Administration and Policy Review,11 (4):151-168.(in Chinese)
刘特,郑跃平,曹梦冰.2024a.算法行政:文献述评与研究展望[J].公共行政评论,17(1):84-104.Liu T,Zheng Y P,Cao M B.2024a.Algorithmic administration:Literature review and research prospects[J].Journal of Public Administration,17(1):84-104.(in Chinese)
刘特,郑跃平,杨学敏.2024b.公共部门中的算法透明能否影响公众信任?---基于一项调查实验[J].电子政务,(8):13-28.Liu T,Zheng Y P,Yang X M.2024b.Can algorithmic transparency in the public sector affect public trust?Evidence from a survey experiment[J].E-Government,(8):13-28.(in Chinese)
刘玮,王锋.2024.政务服务智能化创新的演化、风险与图景---基于场域视角的分析[J].电子政务,(2):79-88.Liu W,Wang F.2024.Evolution,risks,and prospects of intelligent government service innovation:A field-based analysis[J].E-Government,(2):79-88.(in Chinese)
冉龙亚,陈涛,孙宁华.2022.人工智能参与公共决策对公众信任的影响---一项基于调查实验的实证研究[J].科学与社会,12(1):103-121.Ran L Y,Chen T,Sun N H.2022.The influence of artificial intelligence algorithm participating in public decision making on public trust-A survey experiment study[J].Science and Society,12(1):103-121.(in Chinese)
孙源,米加宁,刘鲁宁.2024.志愿服务中算法透明度对感知可信度的影响---服务动机的调节效应[J].公共行政评论,17(1):66-83.Sun Y,Mi J N,Liu L N.2024.The impact of algorithm transparency on perceived trustworthiness in voluntary service:The moderating effect of service motivation[J].Journal of Public Administration,17(1):66-83.(in Chinese)
汤志伟,方錄,韩啸,等.2023.基于委托代理视角的算法治理问题研究[J].情报杂志,42(7):170-177.Tang Z W,Fang L,Han X,et al.2023.Algorithmic governance issues:From a principal-agent perspective[J].Journal of Intelligence,42(7):170-177.(in Chinese)
王思琦.2023.绩效信息理解难度与参考服务质量对满意度的影响[J].公共管理评论,5(4):25-51.Wang S Q.2023.The effects of difficulties in understanding performance information and the quality of reference services on satisfaction[J].China Public Administration Review,5(4):25-51.(in Chinese)
王正绪,赵健池.2021.民本贤能政体与大众政治心理:以政治信任为例[J].开放时代,(4):139-156.Wang Z X,Zhao J C.2021.People-based meritocracy and mass political psychology:Taking political trust as an example[J].Open Times,(4):139-156.(in Chinese)
吴进进,何包钢.2023.算法科层制的兴起及其形态[J].社会学研究,38(6):40-60.Wu J J,He B G.2023.The rise of algorithmic bureaucracy and its typology[J].Sociological Studies,38(6):40-60.(in Chinese)
游宇,王正绪.2014.互动与修正的政治信任---关于当代中国政治信任来源的中观理论[J].经济社会体制比较,(2):178-193.You Y,Wang Z X.2014.Interactive and revisionist political trust:A meso-theory on the sources of political trust in contemporary China[J].Comparative Economic&Social Systems,(2):178-193.(in Chinese)
张成福,王祥州.2023.人工智能嵌入公共服务治理的风险挑战[J].电子政务,(1):37-51.Zhang C F,Wang X Z.2023.Risks and challenges of embedding artificial intelligence in public service governance[J].E-Government,(1):37-51.(in Chinese)
周豪,包国宪.2021.信息来源、信息一致性与公众对政府绩效信息的信任---基于调查实验的发现[J].公共管理评论,3(3):5-32.Zhou H,Bao G X.2021.Source,consistency and the credibility of government performance information:A survey experiment[J].China Public Administration Review,3(3):5-32.(in Chinese)
朱春奎,毛万磊.2017.政府信任的概念测量、影响因素与提升策略[J].厦门大学学报(哲学社会科学版),(3):89-98.Zhu C K,Mao W L.2017.Conceptual measurement,influencing factors and promotion strategies of government trust[J].Journal of Xiamen University (Arts&Social Sciences),(3):89-98.(in Chinese)
Ahn M J,Chen Y C.2022.Digital transformation toward AI-augmented public administration:The perception of government employees and the willingness to use AI in government[J].Government Information Quarterly,39(2):101664.
Alessandro M,Lagomarsino B C,Scartascini C,et al.2021.Transparency and trust in government:Evidence from a survey experiment[J].World Development,138:105223.
Alon-Barkat S,Busuioc M.2023.Human-AI interactions in public sector decision making:“Automation bias”and“selective adherence”to algorithmic advice[J].Journal of Public Administration Research and Theory,33(1):153-169.
Andersen S C,Hjortskov M.2016.Cognitive biases in performance evaluations[J].Journal of Public Administration Research and Theory,26(4):647-662.
Baekgaard M,James O,Serritzlew S,et al.2020.Citizens'motivated reasoning about public performance:Experimental findings from the US and Denmark[J].International Public Management Journal,23(2):186-204.
Bauhr M,Grimes M.2014.Indignation or resignation:The implications of transparency for societal accountability[J].Governance,27(2):291-320.
Brogaard L,Madsen J K,Petersen O H.2024.Interpreting performance information:Motivated reasoning or unbiased comprehension?A replication and extension[J].Public Administration,102(1):318-340.
Chandra Y,Feng N K.2026.Algorithms for a new season?Mapping a decade of research on the artificial intelligence-driven digital transformation of public administration[J].Public Management Review,28(3):620-654.
Eisend M.2007.Understanding two-sided persuasion:An empirical assessment of theoretical approaches[J].Psychology&Marketing,24(7):615-640.
Gesk T S,Leyer M.2022.Artificial intelligence in public services:When and why citizens accept its usage[J].Government Information Quarterly,39(3):101704.
Grimmelikhuijsen S.2012.Linking transparency,knowledge and citizen trust in government:An experiment[J].International Review of Administrative Sciences,78(1):50-73.
Grimmelikhuijsen S.2023.Explaining why the computer says no:Algorithmic transparency affects the perceived trustworthiness of automated decision-making[J].Public Administration Review,83(2):241-262.
Haesevoets T,Verschuere B,Van Severen R,et al.2024.How do citizens perceive the use of Artificial Intelligence in public sector decisions?[J].Government Information Quarterly,41(1):101906.
Hainmueller J,Mummolo J,Xu Y Q.2019.How much should we trust estimates from multiplicative interaction models?Simple tools to improve empirical practice[J].Political Analysis,27(2):163-192.
Han Y.2025.Message-sidedness in performance information disclosure and citizens'perceived accountability:An experimental study[J].Public Management Review,27 (9):2099-2125.
Hemesath S,Tepe M.2024.Public value positions and design preferences toward AI-based chatbots in e-government.Evidence from a conjoint experiment with citizens and municipal front desk officers[J].Government Information Quarterly,41(4):101985.
Hetherington M J.2004.Why trust matters:Declining political trust and the demise of American liberalism[M].Princeton,NJ:Princeton University Press.
Horvath L,James O,Banducci S,et al.2023.Citizens'acceptance of artificial intelligence in public services:Evidence from a conjoint experiment about processing permit applications[J].Government Information Quarterly,40(4):101876.
Ingrams A,Kaufmann W,Jacobs D.2022.In AI we trust?Citizen perceptions of AI in government decision making[J].Policy&Internet,14(2):390-409.
James O.2011.Performance measures and democracy:Information effects on citizens in field and laboratory experiments[J].Journal of Public Administration Research and Theory,21(3):399-418.
James O,Moseley A.2014.Does performance information about public services affect citizens'perceptions,satisfaction,and voice behaviour?Field experiments with absolute and relative performance information[J].Public Administration,92(2):493-511.
Jones E E,Davis K E.1965.From acts to dispositions the attribution process in person perception[M]//Berkowitz L.Advances in Experimental Social Psychology.New York:Academic Press:219-266.
Kahneman D,Tversky A.1979.Prospect theory:An analysis of decision under risk[J].Econometrica,47(2):263-292.
Kennedy R P,Waggoner P D,Ward M M.2022.Trust in public policy algorithms[J].The Journal of Politics,84(2):1132-1148.
König P D,Felfeli J,Achtziger A,et al.2024.The importance of effectiveness versus transparency and stakeholder involvement in citizens'perception of public sector algorithms[J].Public Management Review,26(4):1061-1082.
Kreps S,Jakesch M.2023.Can AI communication tools increase legislative responsiveness and trust in democratic institutions?[J].Government Information Quarterly,40(3):101829.
Kunda Z.1990.The case for motivated reasoning[J].Psychological Bulletin,108 (3):480-498.
Meijer A,Lorenz L,Wessels M.2021.Algorithmization of bureaucratic organizations:Using a practice lens to study how context shapes predictive policing systems[J].Public Administration Review,81(5):837-846.
Meng X,Li C P.2025.Does public sector performance information impact stakeholders?Evidence from a meta-analysis[J].Public Administration Review,85(4):1086-1097.
Miller S M,Song M,Keiser L R.2023.The effect of human versus automated interaction on willingness to participate in government programs:The role of representation[J].Public Administration,101(4):1349-1366.
Olsen A L.2017.Compared to what?How social and historical reference points affect citizens'performance evaluations[J].Journal of Public Administration Research and Theory,27(4):562-580.
Porumbescu G,Moynihan D,Anastasopoulos J,et al.2023.When blame avoidance backfires:Responses to performance framing and outgroup scapegoating during the COVID-19 pandemic[J].Governance,36(3):779-803.
Rozin P,Royzman E B.2001.Negativity bias,negativity dominance,and contagion[J].Personality and Social Psychology Review,5(4):296-320.
Schiff D S,Schiff K J,Pierson P.2022.Assessing public value failure in government adoption of artificial intelligence[J].Public Administration,100(3):653-673.
Schmidthuber L,Willems J,Krabina B.2023.Trust in public performance information:The effect of data accessibility and data source[J].Public Administration Review,83(2):279-295.
Selten F,Robeer M,Grimmelikhuijsen S.2023.“Just like I thought”:Street-level bureaucrats trust AI recommendations if they confirm their professional judgment[J].Public Administration Review,83(2):263-278.
van der Voet J,van Den Bekerom P.2025.Performance information,expectations and satisfaction with public service delivery in the context of co-production initiatives[J].Public Management Review,27(4):1157-1178.
Wang C L,Teo T S H,Janssen M.2021.Public and private value creation using artificial intelligence:An empirical study of AI voice robot users in Chinese public sector[J].International Journal of Information Management,61:102401.
Yang K F,Holzer M.2006.The performance-trust link:Implications for performance measurement[J].Public Administration Review,66(1):114-126.
(1)中国政府网:《深圳市市场监管局在全国率先开展个体工商户“秒批”服务》,2019年3月26日,http://www.gov.cn/xinwen/2019-03/26/content_5377778.htm,2025年2月13日访问。
(2)这一实验操纵的内容来源与基本信息部分相同。
(3)双面相对绩效信息组的文本内容参考了吴进进和何包钢(2023)。
(4)感谢匿名评审人对这一点的指正和建议。
(5)此处对结果准确率的操纵并非来自真实统计数据,而是根据实验需要,参照已有研究(Horvath et al.,2023;König et al.,2024)进行的折中设定。
(6)由上述分析可知,双面相对绩效信息对公众信任的直接效应为负,通过主观绩效认知对公众信任产生的间接效应为正,因此主观绩效认知实际在双面相对绩效信息与公众信任之间发挥遮掩效应而非中介效应。但因为在统计分析意义上的区别不大,为避免表述混乱,此处仍使用中介效应的表述。
基本信息:
中图分类号:D630;D63
引用信息:
[1]杜亚斌.智能政务服务的相对绩效信息如何影响公众信任[J].公共管理评论,2026,8(02):147-172.
基金信息:
国家社会科学基金青年项目“智能政务服务与政府信任的技术社会学研究”(项目批准号:24CSH011)的资助
2026-03-27
2026-03-27
2026-03-27