The Affect Effect in the Very Real World of Political Campaigns

2013 ◽  
pp. 357-374 ◽  
Author(s):  
Dan Schnur
Keyword(s):  
Real World ◽  
Political Campaigns

scholarly journals Negative Campaign Advertising: Demobilizer or Mobilizer?

1999 ◽  
Vol 93 (4) ◽  
pp. 891-899 ◽  
Author(s):  
Martin P. Wattenberg ◽  
Craig Leonard Brians
Keyword(s):  
Survey Data ◽  
Real World ◽  
Presidential Campaign ◽  
Political Campaigns ◽  
Experimental Setting ◽  
Data Set ◽  
Negative Advertising ◽  
Campaign Advertising

As political campaigns become increasingly adversarial, scholars are giving some much-needed attention to the effect of negative advertising on turnout. In a widely recognized Review article and subsequent book, Ansolabehere and his colleagues (1994, 1995) contend that attack advertising drives potential voters away from the polls. We dispute the generalizability of this claim outside the experimental setting. Using NES survey data as well as aggregate sources, we subject their research to rigorous real-world testing. The survey data directly contradict their findings, yielding no evidence of a turnout disadvantage for those who recollected negative presidential campaign advertising. In attempting to replicate Ansolabehere et al.'s earlier aggregate results we uncover quite substantial discrepancies and inconsistencies in their data set. We conclude that their aggregate study is deeply flawed and that Ansolabehere et al. exaggerated the demobilization dangers posed by attack advertising, at least in voters' own context.

Campaign Optimization through Mobility Network Analysis

2015 ◽  
pp. 33-75 ◽  
Author(s):  
Yaniv Altshuler ◽  
Erez Shmueli ◽  
Guy Zyskind ◽  
Oren Lederman ◽  
Nuria Oliver ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Network Analysis ◽  
Real World ◽  
Service Provision ◽  
Political Campaigns ◽  
Mobility Data ◽  
Proposed Model ◽  
Geographical Regions ◽  
Marketing Service ◽  
The Cost

Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of “target individuals”, with the ultimate goal of affecting as many of them as possible, such as in marketing, service provision and political campaigns. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. This chapter proposes a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. The proposed model is validated using real world mobility data.

scholarly journals Political Agonism for Indonesian Cyberpolitic: Critical Cyberculture to Political Campaign of 2019 Indonesian Presidential Election in Twitter

2020 ◽  
Vol 4 (2) ◽  
pp. 211
Author(s):  
Heni Gusfa ◽  
Fransiskus Emilus D. Kadjuand
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Real World ◽  
Presidential Election ◽  
Political Campaigns ◽  
Public Communication ◽  
Third Generation ◽  
Fake News ◽  
Political Campaign ◽  
Text And Image

In this era of third-generation media, political battles not only occur in the real world but also occur in cyberspace. Various strategies and products of political campaigns using social media have become commonplace in political communication. This happens because along with the disruption of public communication media, conventional campaign ideas and models have also expanded into cyber channels and shaped cyber politics reality. The uniqueness of this research is antagonistic narratives such as hoax, ethnicity, religion, race, intergroup, and provocation in the 2019 Presidential Election political campaign on Twitter from January 1st, 2019 to April 13th, 2019. This research intends to critically analyze the narrative of political campaigns on Twitter using the Agonism Cyber-politic approach. The method used in this research is Multimodal Critical Cyberculture Analysis to analyze the multimodality text (text and image components), Using hashtags to amplificated a political narration, and the antagonism narrations that develops on Twitter by supporting accounts of Jokowi and Prabowo. The results showed that the @jokowi and @prabowo accounts were the accounts with the highest engagement in spreading political campaign narratives on Twitter. The @jokowi account uses optimistic narratives, while @prabowo tends to use pessimistic narratives. Nevertheless, there are so many antagonism narratives like hoax, fake news, propaganda, and politicization of SARA which are specified by anonymous accounts. These antagonistic narratives are more developed in cyber politics discourse on Twitter. The result is horizontal conflict among Indonesian people. The community represented by netizens experienced division and formed two clusters. This fact certainly reduces the meaning of Indonesian democracy which should be substantive to mere procedural. It was found out that the concept of agonistic politics becomes practice of Indonesian democracy, based on the philosophy of the Indonesian nation Keywords: Jokowi, Prabowo, 2019 Presidential Election, political campaign, twitter, cyber politic, Indonesian cyber-democracy ABSTRAKDi era media generasi ketiga sekarang ini, pertarungan politik tidak hanya terjadi di dunia nyata, tetapi juga terjadi di dunia maya. Berbagai strategi dan produk kampanye politik menggunakan media sosial menjadi hal yang lumrah dalam komunikasi politik. Hal ini terjadi karena seiring dengan terganggunya media komunikasi publik, ide dan model kampanye konvensional juga merambah ke saluran siber dan membentuk realitas politik siber. Keunikan dari penelitian ini adalah narasi antagonis seperti hoax, etnisitas, agama, ras, antargolongan, dan provokasi dalam kampanye politik Pilpres 2019 di Twitter dari 1 Januari hingga 13 April 2019. Penelitian ini ingin menganalisis secara kritis narasi kampanye politik di Twitter dengan pendekatan Agonism Cyber-politic. Metode yang digunakan dalam penelitian ini adalah Multimodal Critical Cyberculture Analysis, bertujuan untuk menganalisis teks multimodal (komponen teks dan gambar), penggunaan hashtag untuk memperkuat narasi politik, dan narasi antagonisme yang berkembang di Twitter dengan mendukung akun Jokowi dan Prabowo. Hasil penelitian menunjukkan bahwa akun @jokowi dan @prabowo merupakan akun yang paling banyak terlibat dalam menyebarkan narasi kampanye politik di Twitter. Akun @jokowi menggunakan narasi optimis, sedangkan @prabowo cenderung menggunakan narasi pesimistis. Namun demikian, banyak ditemukan narasi antagonisme, seperti hoax, fake news, propaganda, dan politisasi SARA yang dibocorkan oleh akun anonim. Narasi antagonis ini lebih berkembang dalam wacana politik dunia maya di Twitter. Akibatnya terjadi konflik horizontal dalam kehidupan (politik) masyarakat Indonesia. Komunitas yang diwakili oleh netizen mengalami perpecahan dan membentuk dua kluster. Fakta ini tentu mereduksi makna demokrasi Indonesia yang semestinya substantif menjadi sekadar prosedural. Konsep politik agonistik sendiri sudah menjadi bagian dari praktik demokrasi di Indonesia yang berlandaskan pada falsafah bangsa Indonesia.Kata Kunci: Jokowi, Prabowo, Pilpres 2019, kampanye politik, Twitter, politik siber, demokrasi siber Indonesia

Campaign Optimization through Mobility Network Analysis

2017 ◽  
pp. 695-728
Author(s):  
Yaniv Altshuler ◽  
Erez Shmueli ◽  
Guy Zyskind ◽  
Oren Lederman ◽  
Nuria Oliver ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Network Analysis ◽  
Real World ◽  
Service Provision ◽  
Political Campaigns ◽  
Mobility Data ◽  
Proposed Model ◽  
Geographical Regions ◽  
Marketing Service ◽  
The Cost

Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of “target individuals”, with the ultimate goal of affecting as many of them as possible, such as in marketing, service provision and political campaigns. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. This chapter proposes a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. The proposed model is validated using real world mobility data.

scholarly journals Voter outreach campaigns can reduce affective polarization among implementing political activists

2021 ◽  
Author(s):  
Joshua Kalla ◽  
David Broockman
Keyword(s):  
Real World ◽  
Presidential Election ◽  
Political Campaigns ◽  
Prejudice Reduction ◽  
Voter Behavior ◽  
Report Data ◽  
Qualitative Responses ◽  
Politically Active

Political campaigns regularly dispatch activists to contact voters. A large literature considers the effects of these conversations on voter behavior and opinion, but little research has examined their impacts on the implementing activists—an important population given the outsized influence politically active Americans wield. We argue personal persuasion campaigns can reduce affective polarization among the implementing activists. We report data from three real-world campaigns wherein activists attempted to persuade voters who had opposing viewpoints: two campaigns about a politicized issue (immigration) and a third about the 2020 Presidential election. All three campaigns trained activists to persuade voters through in-depth, two-way conversations. We find that these voter outreach efforts meaningfully reduced affective polarization among implementing activists, with reductions large enough to reverse over a decade of increases in affective polarization. Qualitative responses suggest that the conversations reduce polarization by creating opportunities for perspective-getting, which reduced animosity by humanizing and individuating outpartisans. We discuss the implications of our findings for theories of affective polarization and prejudice reduction more generally.

Replications can cause distorted belief in scientific progress

2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek
Keyword(s):  
Real World ◽  
Scientific Progress ◽  
The Public ◽  
Psychological Science

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.

Current Issues: Evidence-Based Practice for the Real World: Thoughts on Clinical Education in Communication Disorders

2010 ◽  
Vol 20 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Anne K. Bothe
Keyword(s):  
Clinical Education ◽  
Real World ◽  
Evidence Based Practice ◽  
Communication Disorders ◽  
University Faculty ◽  
Evidence Based ◽  
Speech Language Pathology ◽  
Basic Principles ◽  
The Real ◽  
Language Pathology

This article presents some streamlined and intentionally oversimplified ideas about educating future communication disorders professionals to use some of the most basic principles of evidence-based practice. Working from a popular five-step approach, modifications are suggested that may make the ideas more accessible, and therefore more useful, for university faculty, other supervisors, and future professionals in speech-language pathology, audiology, and related fields.

Qualitative Case Study Research Design

2015 ◽  
Vol 25 (1) ◽  
pp. 39-45 ◽  
Author(s):  
Jennifer Tetnowski
Keyword(s):  
Research Design ◽  
Real World ◽  
Qualitative Case Study ◽  
Case Study Research ◽  
Study Research

Qualitative case study research can be a valuable tool for answering complex, real-world questions. This method is often misunderstood or neglected due to a lack of understanding by researchers and reviewers. This tutorial defines the characteristics of qualitative case study research and its application to a broader understanding of stuttering that cannot be defined through other methodologies. This article will describe ways that data can be collected and analyzed.

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