scholarly journals Automation on Twitter: Measuring the Effectiveness of Approaches to Bot Detection

2021 ◽  
pp. 089443932110349
Author(s):  
Oliver Beatson ◽  
Rachel Gibson ◽  
Marta Cantijoch Cunill ◽  
Mark Elliot

The effectiveness of approaches to bot detection varies, with real-time detection being almost impossible. As a result, this article argues that the general Twitter using public cannot be expected to judge which accounts are bots with certainty and therefore do not know to what extent they are being manipulated online. In this article, the challenge of detecting bots and fake accounts is demonstrated by constructing two distinct methods to bot detection. The first method takes a fixed criteria-based approach, by building on commonly cited identifiers for bots. The second method takes a more flexible, investigative approach in order to uncover bots involved in coordinated efforts to influence online debates. As well as profiling the specific mechanics of how each one operates, we argue that they can be compared against an evaluative framework that specifies a set of key criteria that bot detection methods should meet in order to perform. Here, we identify four key criteria on which these methods can be evaluated and then examine how they perform in terms of the key criteria of accuracy. The results of these methods are then compared and cross-checked against an existing and widely used bot detection service. The findings show that different bot detection methods can present significantly different results and that only confirmation from Twitter, through suspensions or announcements, can truly allow users to know whether an account is a bot or not. We argue that this development could have a significant effect on the level of trust that social media users have both in the information they receive through social media and also in the political process.

Author(s):  
Philip Habel ◽  
Yannis Theocharis

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”


2015 ◽  
Vol 10 (5) ◽  
pp. 95-99
Author(s):  
Бударина ◽  
Kseniya Budarina

The article examines the media´s ability to influence the process of forming political and civic culture of Russian youth. The author revealed the essence of the institute of the media and identified the main functional characteristics of the subject of the political process. The transformation of political values of the Russian youth is substantiated, as well as the instability of its political views in terms of mediatization and development of social media is considered. The priority of media activities is specified that affects the formation of political knowledge and attitudes of young people.


2022 ◽  
pp. 1476-1493
Author(s):  
Stephane Bignoux

The aim of this chapter is to analyse young voter engagement in modern Western democracies. Why young voters? Young voters are disengaged from the political process. In order to complete the analysis, the author adapts an engagement model from social media marketing. The adapted model consists of three parts: consumption, contribution, and (co) creation of brand related materials. The author hypothesises that each aspect of the model is related to the other and that all three aspects of the model are positively related to loyalty to the political party brand. The aim of this conceptual adaptation is to investigate a new way to re-engage young voters with the political party brand, thereby strengthening one pillar of modern democracy.


The Forum ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 145-170
Author(s):  
David C.W. Parker

Abstract Students of American politics are indebted to Richard Fenno’s path-breaking work, Home Style, published four decades ago. But, given the book’s widespread acclaim, few have taken Fenno’s prescription to go back home with members of Congress to heart. In this essay, I echo Fenno’s call for scholars to become participant-observers of the political process while offering the modern “soaker and poker” a guide to the pitfalls and opportunities of pursuing such a research project. I respond to Fenno’s methodological treatise, written as the appendix to Home Style, focusing in particular on gaining access and how to remain publicly engaged while observing a competitive Senate campaign. I discuss how changes in American political culture create additional wrinkles for participant observation that must be considered, especially if scholars chose to remain engaged in public outreach. I conclude by addressing the need to consider carefully the ethics of engaging the political world we study, particularly in the light of the Stanford-Dartmouth experiment scandal rocking Montana in the weeks preceding the state’s 2014 judicial elections. We may not all do participant observation, but we should follow Fenno when considering the implications of interfering in the political world as we study it.


2017 ◽  
Vol 36 (4) ◽  
pp. 422-439 ◽  
Author(s):  
Kenneth W. Moffett ◽  
Laurie L. Rice

While college students traditionally exhibit low levels of political participation and interest in politics, they are more likely to engage in some forms of political expression than their elders. Their greater familiarity with online forms of political expression and engagement potentially lowers their barriers for political involvement. In turn, this potentially draws more young adults into the political process. The authors compare the precursors of expressive forms of online political engagement to those of talking to someone off-line and trying to persuade them to vote for or against a candidate or party among college students. They find that both activities are positively connected with politically oriented activity on social media as well as the frequency with which one reads blogs. They also discover that the mechanisms that explain online political expression are both similar to and different from those that explain off-line attempts at persuasion in several key ways.


2014 ◽  
Vol 644-650 ◽  
pp. 1172-1175
Author(s):  
Ya Li Qi ◽  
Ye Li Li ◽  
Cui Wang ◽  
Li Kun Lu

Barcode detection has many applications and detection methods. Most applications have their own requirements for detection accuracy and speed. This paper has its requirement for speed in the real time system to detection inclination defect of barcode. It predominantly researches on two algorithms and their applications on 1-dimentional barcode scanning. One is location and the other is angle of inclination. The algorithms are particularly useful for real time detection of barcodes in online system with image vision devices.


Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 191
Author(s):  
Bo Gong ◽  
Daji Ergu ◽  
Ying Cai ◽  
Bo Ma

Wheat head detection can estimate various wheat traits, such as density, health, and the presence of wheat head. However, traditional detection methods have a huge array of problems, including low efficiency, strong subjectivity, and poor accuracy. In this paper, a method of wheat-head detection based on a deep neural network is proposed to enhance the speed and accuracy of detection. The YOLOv4 is taken as the basic network. The backbone part in the basic network is enhanced by adding dual spatial pyramid pooling (SPP) networks to improve the ability of feature learning and increase the receptive field of the convolutional network. Multilevel features are obtained by a multipath neck part using a top-down to bottom-up strategy. Finally, YOLOv3′s head structures are used to predict the boxes of wheat heads. For training images, some data augmentation technologies are used. The experimental results demonstrate that the proposed method has a significant advantage in accuracy and speed. The mean average precision of our method is 94.5%, and the detection speed is 71 FPS that can achieve the effect of real-time detection.


2017 ◽  
Vol 4 (4) ◽  
pp. 94-102
Author(s):  
D E Antonov

The article makes an attempt at a theoretical analysis of the structure of the national information space of Russia. The author describes the impact of the transformation of the structure of the information space on the election process on examples of elections to the State Duma and municipal elections in Moscow, using the methodology of studying system dynamics. According to the results of the study, it is concluded that in the context of the political process mediatization, social media, as channels and tools of information and communication exchange within the information space, will increasingly influence the electoral process. Keywords: information space, mediatization, elections, election process, social media.


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