Knowing More from Less: How the Information Environment Increases Knowledge of Party Positions

被引：46

作者：

Banducci, Susan ^{[1
]}

Giebler, Heiko ^{[2
]}

Kritzinger, Sylvia ^{[3
]}

机构：

[1] Univ Exeter, Exeter, Devon, England

[2] WZB Berlin Social Sci Ctr, Berlin, Germany

[3] Univ Vienna, Vienna, Austria

来源：

BRITISH JOURNAL OF POLITICAL SCIENCE | 2017年 / 47卷 / 03期

基金：

奥地利科学基金会; 英国经济与社会研究理事会;

关键词：

SOFT NEWS; ELECTION CAMPAIGN; PUBLIC KNOWLEDGE; MEDIA; COVERAGE; UNCERTAINTY; CITIZENS; EXPOSURE; EUROPE; IMPACT;

D O I：

10.1017/S0007123415000204

中图分类号：

D0 [政治学、政治理论];

学科分类号：

0302 ; 030201 ;

摘要：

Access to information is a hallmark of democracy, and democracy demands an informed citizenry. Knowledge of party positions is necessary for voters so that electoral choices reflect preferences, allowing voters to hold elected officials accountable for policy performance. Whereas most vote choice models assume that parties perfectly transmit positions, citizens in fact obtain political information via the news media, and this news coverage can be biased in terms of salience - which leads to asymmetric information. This study examines how information asymmetries in news coverage of parties influence knowledge about political party positions. It finds that the availability of information in the news media about a party increases knowledge about its position, and that party information in non-quality news reduces the knowledge gap more than information in quality news.

引用

页码：571 / 588

页数：18

共 50 条

[21] More why, less how: What we need from models of cognition
Norris, Dennis
Cutler, Anne
[J]. COGNITION, 2021, 213
[22] Knowing how to learn and how to teach motivation: Contributions from Self-Regulation of Motivation to more a effective learning
Paulino, Paula
da Silva, Adelina Lopes
[J]. 2ND INTERNATIONAL CONFERENCE ON EDUCATION AND EDUCATIONAL PSYCHOLOGY 2011, 2011, 29
[23] (Mis)understanding the Coronavirus and How it Was Handled in the UK: An Analysis of Public Knowledge and the Information Environment
Cushion, Stephen
Morani, Marina
Kyriakidou, Maria
Soo, Nikki
[J]. JOURNALISM STUDIES, 2022, 23 (5-6) : 703 - 721
[24] How to extract information and knowledge from fusion massive databases
Murari, A.
Vega, J.
Alonso, J. A.
De la Luna, E.
Farthing, J.
Hidalgo, C.
Ratta, G. A.
Svensson, J.
Vagliasindi, G.
[J]. BURNING PLASMA DIAGNOSTICS, 2008, 988 : 457 - +
[25] More from Less: Self-supervised Knowledge Distillation for Routine Histopathology Data
Farndale, Lucas
Insall, Robert
Yuan, Ke
[J]. MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, 2024, 14348 : 454 - 463
[26] The Company You Keep: How Voters Infer Party Positions on European Integration from Governing Coalition Arrangements
Adams, James
Ezrow, Lawrence
Wlezien, Christopher
[J]. AMERICAN JOURNAL OF POLITICAL SCIENCE, 2016, 60 (04) : 811 - 823
[27] The significance of γ-and λ-dislocations in transient states of phyllotaxis: how to get more from less - sometimes!
Zagorska-Marek, Beata
Szpak, Marcin
[J]. ACTA SOCIETATIS BOTANICORUM POLONIAE, 2016, 85 (04)
[28] How to Extract More Information With Less Burden: Fundus Image Classification and Retinal Disease Localization With Ophthalmologist Intervention
Meng, Qier
Hashimoto, Yohei
Satoh, Shin'ichi
[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 24 (12) : 3351 - 3361
[29] From information commons to knowledge commons Building a collaborative knowledge sharing environment for innovative communities
Ren Shuhuai
Sheng Xingjun
Lin Haiqing
Cao Jialin
[J]. ELECTRONIC LIBRARY, 2009, 27 (02): : 247 - 257
[30] HOW TO EXTRACT MORE INFORMATION WITH LESS BURDEN: FUNDUS IMAGE CLASSIFICATION AND RETINAL DISEASE LOCALIZATION WITH OPHTHALMOLOGIST INTERVENTION
Meng, Qier
Hashimoto, Yohei
Satoh, Shinichi
[J]. 2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 1373 - 1377

← 1 2 3 4 5 →