scholarly journals Negative Campaign Advertising: Demobilizer or Mobilizer?

1999 ◽  
Vol 93 (4) ◽  
pp. 891-899 ◽  
Author(s):  
Martin P. Wattenberg ◽  
Craig Leonard Brians

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.

2019 ◽  
Author(s):  
Yung-I Liu

<p><a>This study investigates the informing effects of communication in political campaigns from a geospatial perspective. The results from analyzing survey data collected during the 2000 and 2004 presidential elections in the U.S. generally suggest that the main forms of traditional </a>communication, i.e., print newspapers and network and cable television news—but with the exception of local TV news—play a significant role in informing citizens about political campaigns. Political discussion also plays a role in this regard. The implications of the respective roles of a number of news forms in a democracy are discussed.</p>


2020 ◽  
pp. 135406882090802
Author(s):  
Sejin Koo

Studies of party activism highlight that party activists are driven by various motivations and that these affect their level of activism. However, it remains unclear whether policy-motivated activists are more engaged in party activities than those motivated by other incentives and whether the motivation–activism link varies with party characteristics. This article investigates these questions by focusing on political actors linking parties and voters in the local community. I use a party activist survey data set collected during recent national election campaigns in three Asian young democracies: Taiwan, Korea, and Mongolia. The results demonstrated the prominence of policy motivation as an impetus for activists’ intraparty commitment. I also found that the positive effect of policy motivation is especially robust in small parties, while it is muted in large parties and that party membership increases the probability of intraparty commitment, challenging the widely held belief that formal membership is pointless in Asian parties.


2019 ◽  
Vol 54 (1) ◽  
pp. 73-91 ◽  
Author(s):  
Bert van Pinxteren

Africa is a continent of considerable cultural diversity. This diversity does not necessarily run in parallel to the national boundaries that were created in Africa in the colonial period. However, decades of nation building in Africa must have made their mark. Is it possible nowadays to distinguish national cultures in Africa, or are the traditional ethnolinguistic distinctions more important? This article uses an approach developed in cross-cultural psychology to examine these questions. In 2012, Minkov and Hofstede published an article in this journal analyzing World Values Survey data from seven countries in Sub-Saharan Africa at the level of subnational administrative regions. They argued that national culture is also a meaningful concept in this region. This study reexamines the matter. It uses an innovative approach, looking at ethnolinguistic groups instead of at administrative regions and using the much more extensive Afrobarometer survey data set. It finds that although the Minkov/Hofstede study still has merit, the picture is more nuanced in several important ways. There is not one pattern that adequately describes the situation in the whole of Africa.1


2000 ◽  
Vol 66 ◽  
pp. 257-295 ◽  
Author(s):  
Trevor Kirk ◽  
George Williams ◽  
A. Caseldine ◽  
J. Crowther ◽  
I. Darke ◽  
...  

Excavations at the Glandy Cross monumental complex during 1991 and 1992 formed part of an integrated programme of evaluation, rescue, and research by Dyfed Archaeological Trust (DAT). Enclosures, pit circles, standing stones, and cairns were excavated and their environs systematically surveyed. Radiocarbon dates show the monumental complex to have been constructed between c. 2190–1530 cal BC. However, the earliest activity at the site may date to c. 4470–4230 cal BC. A defended enclosure was constructed on the peripheries of the complex c. 830–510 cal BC.The 1991–92 excavation results are presented along with a summary of survey, salvage, and research spanning the period 1981 to 1992. This new data set is tentatively interpreted in terms of historical process and the social practice of monumental construction. A brief commentary on heritage management at Glandy Cross is also presented.A note on authorship: one of the authors (George Williams) directed the Glandy Cross excavations during 1991–92 and prepared an initial draft of the project report. Following his retirement from DAT a project editor (Trevor Kirk) was commissioned by Cadw: Welsh Historic Monuments to guide the project towards publication. This paper was largely penned by the project editor, though the excavation and survey data were produced by George Williams and his fieldwork team. The excavation and survey archives are held at the offices of DAT.


2021 ◽  
pp. 1532673X2110318
Author(s):  
Francine Sanders Romero ◽  
David W. Romero

In an era when elections scholars expected American national presidential election turnout to increase, its steep, prolonged post-1960 decline sparked deep concern and generated an avalanche of individual-level analyses searching for explanation. The post-1960 decline, however, no longer dominates turnout’s trajectory; it has been on the upswing since 1996. This complicates our understanding as we have yet to settle on turnout’s description, much less its explanation. Here we introduce the first political science-oriented, multivariate modeling of American national presidential election turnout. Our results offer a mix of important confirmatory and original findings. First, we discover that modeling turnout’s decline as a post-1968 secular disturbance reveals turnout’s expected steady increase across the modern era (1952–2020). Second, we show that turnout’s increase can be traced to increased polarization working its influence indirectly through the direct, positive turnout affects of voter external efficacy and negative presidential campaign advertising (1960–2012).


2020 ◽  
Vol 1 ◽  
pp. 18-35
Author(s):  
Brendan O'Hallarn ◽  
James Strode

As sport management pedagogy has evolved, an effort has been made to incorporate popular and innovative social media technologies into classroom instruction. Academic research has suggested how the technology can be utilized to provide real-world skills for students and develop proficiencies in an area where many sport management graduates find employment. Notable among the recommendations about social media use by sport management scholars is a lack of research testing the efficacy of these tools in improving curricula. The current study relied on the recommendations of Sanderson and Browning (2015) to use the social media site Twitter to create online partnerships, testing the perceived benefits of such an arrangement through end-of-semester surveys with student participants. While the survey data show a true partnership may be difficult to realize—particularly during a single semester—the benefits of such an assignment were clearly articulated.


2021 ◽  
Vol 2113 (1) ◽  
pp. 012082
Author(s):  
Yulong Dai ◽  
Qiyou Shen ◽  
Xiangqian Xu ◽  
Jun Yang

Abstract Most real-world systems consist of a large number of interacting entities of many types. However, most of the current researches on systems are based on the assumption that the type of node or link in the network is unique. In other words, the network is homogeneous, containing the same type of nodes and links. Based on this assumption, differential information between nodes and edges is ignored. This paper firstly introduces the research background, challenges and significance of this research. Secondly, the basic concepts of the model are introduced. Thirdly, a novel type-sensitive LeaderRank algorithm is proposed and combined with distance rule to solve the importance ranking problem of content-associated heterogeneous graph nodes. Finally, the writer influence data set is used for experimental analysis to further prove the validity of the model.


India is a worldwide agriculture business powerhouse. Future of agriculture-based products depends on the crop production. A mathematical model might be characterized as a lot of equations that speak to the conduct of a framework. By using mathematical model in agriculture field, we can predict the production of crop in particular area. There are various factors affecting crops such as Rainfall, GHG Emissions, Temperature, Urbanization, climate, humidity etc. A mathematical model is a simplified representation of a real-world system. It forms the system using mathematical principles in the form of a condition or a set of conditions. Suppose we need to increase the crop production, at that time the mathematical model plays a major role and our work can be easier, more significant by using the mathematical model. Through the mathematical model we predict the crop production in upcoming years. .AI, ML, IOT play a major role to predict the future of agriculture, but without mathematical models it is not possible to predict crop production accurately. To solve the real-world agriculture problem, mathematical models play a major role for accurate results. Correlation Analysis, Multiple Regression analysis and fuzzy logic simulation standards have been utilized for building a grain production benefit depending model from crop production. Prediction of crop is beneficiary to the farmer to analyze the crop management. By using the present agriculture data set which is available on the government website, we can build a mathematical model.


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