“Where You Lead, I Will Follow”: Partisan Cueing on High‐Salience Issues in a Turbulent Multiparty System

2020 ◽  
Vol 41 (4) ◽  
pp. 795-812 ◽  
Author(s):  
Ted Brader ◽  
Lorenzo De Sio ◽  
Aldo Paparo ◽  
Joshua A. Tucker
Keyword(s):  
2019 ◽  
Vol 56 (4) ◽  
pp. 469-484 ◽  
Author(s):  
Cullen S Hendrix ◽  
Idean Salehyan

Why do governments use deadly force against unarmed protesters? The government’s threat perception may be a function of the mobilization potential of the opposition and/or the size of the ruling elite’s support coalition. Given the high salience of ethnicity in African politics, governments that depend on small ethnic coalitions will see peaceful protests as more threatening, as the opposition may be able to draw on larger numbers of potential dissidents and excluded groups. Alternately, governments with larger, more homogeneous ethnic coalitions will find nonviolent mobilization less threatening and will be less likely to respond with deadly force. Using the Social Conflict Analysis Database, we demonstrate that as the size – and to a lesser extent homogeneity – of the ethnic ruling coalition grows, governments are significantly less likely to use deadly force against nonviolent protesters. This finding is robust to several operationalizations of the size of the government’s support coalition, the inclusion of other measures of ethnic demographics, and estimators that account for the hierarchical nature of the data. Threat perception hinges not only on dissident tactics but on their demands, their mobilization potential, and their capacity to impose costs on the government. This article demonstrates that the size and composition of the government’s ethnic support base matters as well.


2020 ◽  
pp. 089443932094657
Author(s):  
Jeffrey Lazarus ◽  
Judd R. Thornton

With nearly all political candidates, officeholders, and organizations using the platform, Twitter has become an important venue for political communication and engagement. In particular, Twitter lowers the cost of entry for political activity, with the result that millions of people follow and interact with political elites online. However, most studies of the political uses of twitter focus on the substance and content of tweets themselves. In contrast, we ask what influences the rates at which users engage with the tweets posted by political elites. To do this, we obtained the number of likes and retweets for each of President Trump’s tweets over a 14-month time span. Using these data, we find first that engagement varies with Trump’s net approval in the broader electorate. Second, we find that engagement varies with the substantive content of the tweet: negatively toned tweets and tweets involving foreign policy receive higher levels of engagement than other tweets. Third, we find that high-salience events—for example, the recusal of Jeff Sessions—lead to more engagement. Fourth, we find some evidence that engagement levels vary with the timing of the electoral cycle. Overall, we argue that the factors influencing Twitter engagement are in some ways similar to the factors influencing political activity more broadly, though it is possible that the fact that Trump’s use of Twitter is unique among politicians drives some of our results.


2001 ◽  
Vol 13 (7) ◽  
pp. 1603-1623 ◽  
Author(s):  
W. Wang ◽  
P. Jones ◽  
D. Partridge

We assess the relative merits of a number of techniques designed to determine the relative salience of the elements of a feature set with respect to their ability to predict a category outcome-for example, which features of a character contribute most to accurate character recognition. A number of different neural-net-based techniques have been proposed (by us and others) in addition to a standard statistical technique, and we add a technique based on inductively generated decision trees. The salience of the features that compose a proposed set is an important problem to solve efficiently and effectively, not only for neural computing technology but also in order to provide a sound basis for any attempt to design an optimal computational system. The focus of this study is the efficiency and the effectiveness with which high-salience subsets of features can be identified in the context of ill-understood and potentially noisy real-world data. Our two simple approaches, weight clamping using a neural network and feature ranking using a decision tree, generally provide a good, consistent ordering of features. In addition, linear correlation often works well.


2008 ◽  
Vol 11 (1) ◽  
pp. 115-124 ◽  
Author(s):  
Ana M. Martín ◽  
María Esther Salazar-Laplace ◽  
Cristina Ruiz

Three-hundred and twenty written accounts of environmental transgressors were assessed by sequential analysis to reveal their argument streams. The accounts were obtained from the written statements that transgressors are allowed to give during the Spanish administrative process and which were included in files handled by four environmental law enforcement agencies. These agencies are distributed across national, regional, island and municipality jurisdictions. The setting for the study is a highly protected environment in which environmental laws have high salience. Results reveal that transgressors use simple argument streams, consistently more defensive than conciliatory, and questioning the perceived legitimacy of environmental law. It was seen also that the empirical functioning of the explanations related to pursuing emotional/prosocial objectives differs from what was expected from the traditional conceptual definition. Results are discussed in terms of how the assessment of the internal dynamic of the accounts would provide valuable information on transgressors' reasoning in relation to environmental laws.


Author(s):  
Todd D. Hollander ◽  
Joel S. Warm ◽  
Gerald R. Matthews ◽  
William N. Dember ◽  
Raja Parasuraman ◽  
...  

The signal regularity effect — enhanced performance efficiency when critical signals for detection appear in a temporally regular as opposed to an irregular manner- has a long history in vigilance research. However, the precise conditions under which this effect can be elicited have not been identified. Toward that end, this study demonstrates that the effect is limited to low salience signals, perhaps because the effort needed to generate veridical temporal expectancies is unnecessary with high salience signals. Additionally, using signal detection theory indices ( d' & c) and neuroimaging of cerebral blood flow via transcranial Doppler sonography, this study also shows that the signal regularity effect is rooted in sensing rather than decision-making factors and that it is localized in the right cerebral hemisphere.


Voter Turnout ◽  
2012 ◽  
pp. 125-150
Author(s):  
Meredith Rolfe
Keyword(s):  

2018 ◽  
Vol 65 (5) ◽  
pp. 566-590 ◽  
Author(s):  
Lubna A Al-Kazi ◽  
Alessandra L González

This article examines the individual and societal explanations for the persistence of the hijab as a conservative cultural norm in persistently religious and culturally conservative communities. Analyzing data from 300 hijab-wearing women in Egypt and 198 hijab-wearing women in Kuwait, our findings confirm the importance of considering societal as well as individual-level factors in the persistence of conservative cultural norms. We find that low salience of the hijab is associated with beliefs that others misuse the hijab. High salience of the hijab is correlated with beliefs that the hijab brings its wearer greater social mobility. Exposure to non-hijab-wearers was associated with both high and low salience of the hijab, and demonstrates the influence that exposure to norm breakers has on reinforcing the salience of conservative social norms.


2018 ◽  
pp. 271-288
Author(s):  
Bruce P. Dohrenwend ◽  
Thomas J. Yager ◽  
Yuval Neria ◽  
J. Blake Turner ◽  
Nick Turse ◽  
...  

This chapter presents findings that the large majority (between 61.8% and 70.9%) of U.S. male veterans in the NVVRS sample appraised the impact of Vietnam service on their personal lives as mainly positive, and that negative appraisals, especially those with high salience (i.e., importance), are strongly associated with PTSD onset and current PTSD. A substantial minority (41.7%) judged the effects to be highly salient in their present lives. It investigates the valence and salience of these appraisals in relation to PTSD and other indicators of wartime and post-war functioning. The results are consistent with the hypothesis that mainly positive appraisals are affirmations of successful wartime and post-war adaptation rather than defensive denials related to maladaptive outcomes. It discusses the possibility that mainly positive appraisals, especially those with low salience, also contribute to successful post-war adaptation.


2018 ◽  
Vol 34 (3) ◽  
pp. 234-257
Author(s):  
Sanna Salo ◽  
Jens Rydgren

AbstractThis paper analyses the politicisation of the Eurozone crisis in Finnish public debate, in May-November 2010. We emphasise how the mainstream parties responded to the radical right Finns Party's framing, in addition to two context factors: first, the constraints posed on domestic policymakers by EU and EMU-level decisions, and secondly, the sharp, economic downturn, encouraging a zero-sum interpretation of distributive claims. To trace actor positions, we analyse 1183 actor-issue statements coded from Finland's main newspaper, Helsingin Sanomat. Our findings suggest that radical right-wing parties can benefit from the high salience of socio-economic issues, if distributive conflict can plausibly be portrayed as a in- and out-group conflict, and that the mainstream parties did not only adopt nationalistic rhetoric as a response to the radical right-wing Finns Party's framing, but were responding to a constraints such as the diminished room for maneuver in the EMU, moving them towards the Finns Party's position.


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