Social Media Handbuch

2021 ◽  
Keyword(s):  
Social Media ◽  
Data Processing ◽  
Business Models ◽  
Practical Application ◽  
Strategy Model ◽  
The Social ◽  
Platform Economy

The Social Media Handbook provides guidance on long-term developments in the ever-changing social media sector and explains fundamental interrelationships in this field. It describes a strategy model for the development of one’s own solutions, summarises the theories, methods and models of leading authors and shows their practical application, while also highlighting current developments and dealing with the topic of data processing in social media. An examination of the platform economy with its economic functions facilitates the classification of business models in social media. The book also shows how platforms and their algorithms can influence our actions and shape our opinions. With contributions by Prof. Karin Bjerregaard Schlüter, Andrea Braun, Franziska Geue, Tobias Knopf, Markus Korbien, Prof. Dr. Daniel Michelis, Stefan Pfaff, Thanh H. Pham, Tom Reichstein, Prof. Dr. Anna Riedel, Michael Sarbacher, Prof. Dr. Dr. Thomas Schildhauer, Prof. Dr. Hendrik Send, Dr. Stefan Stumpp, Prof. Dr. Sebastian Volkmann, Jan-Benedikt Weber, Julia Weißhaupt, Norman Wiebach und Prof. Dr. Christian Wissing.

scholarly journals Automated Classification of Fake News Spreaders to Break the Misinformation Chain

Information ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 248
Author(s):  
Simone Leonardi ◽  
Giuseppe Rizzo ◽  
Maurizio Morisio
Keyword(s):  
Social Media ◽  
Network Architecture ◽  
Diffusion Mechanism ◽  
Automated Classification ◽  
Fake News ◽  
Neural Network Architecture ◽  
User Classification ◽  
The Social ◽  
Network Topologies

In social media, users are spreading misinformation easily and without fact checking. In principle, they do not have a malicious intent, but their sharing leads to a socially dangerous diffusion mechanism. The motivations behind this behavior have been linked to a wide variety of social and personal outcomes, but these users are not easily identified. The existing solutions show how the analysis of linguistic signals in social media posts combined with the exploration of network topologies are effective in this field. These applications have some limitations such as focusing solely on the fake news shared and not understanding the typology of the user spreading them. In this paper, we propose a computational approach to extract features from the social media posts of these users to recognize who is a fake news spreader for a given topic. Thanks to the CoAID dataset, we start the analysis with 300 K users engaged on an online micro-blogging platform; then, we enriched the dataset by extending it to a collection of more than 1 M share actions and their associated posts on the platform. The proposed approach processes a batch of Twitter posts authored by users of the CoAID dataset and turns them into a high-dimensional matrix of features, which are then exploited by a deep neural network architecture based on transformers to perform user classification. We prove the effectiveness of our work by comparing the precision, recall, and f1 score of our model with different configurations and with a baseline classifier. We obtained an f1 score of 0.8076, obtaining an improvement from the state-of-the-art by 4%.

Polarity Classification of Arabic Sentiments

2016 ◽  
Vol 11 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Mohammed N. Al-Kabi ◽  
Heider A. Wahsheh ◽  
Izzat M. Alsmadi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Operating Characteristic ◽  
Opinion Mining ◽  
Online Social Network ◽  
The Social ◽  
Polarity Classification ◽  
Arabic Sentiment Analysis ◽  
Modern Standard

Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a certain issue. This study aims to present a new method to identify the polarity of Arabic reviews and comments whether they are written in Modern Standard Arabic (MSA), or one of the Arabic Dialects, and/or include Emoticons. The proposed method is called Detection of Arabic Sentiment Analysis Polarity (DASAP). A modest dataset of Arabic comments, posts, and reviews is collected from Online social network websites (i.e. Facebook, Blogs, YouTube, and Twitter). This dataset is used to evaluate the effectiveness of the proposed method (DASAP). Receiver Operating Characteristic (ROC) prediction quality measurements are used to evaluate the effectiveness of DASAP based on the collected dataset.

Measuring the Effectiveness of Social Media in a B2B Scenario in India

2021 ◽  
Vol 9 (2) ◽  
pp. 285-300
Author(s):  
Krishanu Bhattacharyya ◽  
Bikash Ranjan Debata
Keyword(s):  
Social Media ◽  
Return On Investment ◽  
Business Models ◽  
Business Owners ◽  
Digital Platforms ◽  
Four Dimensions ◽  
The Social

Digitalisation is a global phenomenon that is a worthwhile proposition for the development of any nation’s economy. Social media contributes significantly to the development of an economy by the spreading and democratisation of information through global players, such as Facebook, YouTube, LinkedIn etc. According to a Forbes report in 2017, these digital platforms create new ecosystems and business models for business owners and entrepreneurs. Whilst a report by Statista in 2020 states that there were 3.6 billion social media users worldwide and the number is expected to grow to 4.4 billion by 2025. Return on Investment (ROI) measurement of social media, which is a very important component for organisations to evaluate its success or effectiveness, remains a major challenge for organisations, despite number of attempts having been made by experts in the field. This study is aimed at understanding how the success and effectiveness of social media is measured in a B2B scenario. Various frameworks on social media ROI measurement are critically evaluated. Then, a tool for measuring social media ROI is developed, such that businesses will be able to evaluate their social media investments. The instrument covers 14 variables over four dimensions.  The results indicate that respondents perceived organic return as the most important dimension. It is also evident that brand testament is found the least perceived dimension for measuring the social media ROI.

scholarly journals Native Advertising—The Formats and Types of Content Most Demanded by Brands in the Spanish Media

2021 ◽  
Vol 2 (4) ◽  
pp. 529-544
Author(s):  
Daniel Zomeño ◽  
Rocío Blay-Arráez
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Editorial Content ◽  
Media Environment ◽  
The Social ◽  
Media Ecosystem ◽  
The Media ◽  
Media Formats ◽  
Depth Interviews

Media convergence and the incorporation of new narratives typical of the consumption habits of younger audiences in the social media environment have led to the proliferation of a wide variety of formats and types of content in the media ecosystem through which the editorial content offered to brands is being distributed. This qualitative research, using in-depth interviews with a qualified sample of branded content managers from the main Spanish media, allows us to determine the main characteristics of the native advertising demanded by advertisers. The results corroborate observations that content channelled through more sophisticated consumption experiences, using both multimedia and interactivity with a clear transmedia approach, tends to be better received by the audience and, therefore, in greater demand by brands. It also confirms that both video and social media formats have grown exponentially when it comes to providing an outlet for branded content. Based on the results obtained, a proposed classification of these products, including definitions, has been drawn up so they can be publicised to the professional world, offering the reflection and precision that their rapid development has not allowed until now.

scholarly journals Memory in Linguistic Narrative vs. Postmodern Multitasked Multimedia Art Memory

2018 ◽  
Vol 1 (2) ◽  
pp. 101
Author(s):  
Vesna Srnic ◽  
Emina Berbic Kolar ◽  
Igor Ilic
Keyword(s):  
Short Term Memory ◽  
Social Role ◽  
Procedural Memory ◽  
Short Term ◽  
The Social ◽  
Multimedia Art ◽  
The Media

<p><em>In addition to the well-known classification of long-term and short-term memory, we are also interested in distinguishing episodic, semantic and procedural memory in the areas of linguistic narrative and multimedial semantic deconstruction in postmodernism. We compare the liveliness of memorization in literary tradition and literature art with postmodernist divisions and reverberations of traditional memorizations through human multitasking and performative multimedia art, as well as formulate the existence of creative, intuitive and superhuman paradigms.</em></p><em>Since the memory can be physical, psychological or spiritual, according to neurobiologist Dr. J. Bauer (Das Gedächtnis des Körpers, 2004), the greatest importance for memorizing has the social role of collaboration, and consequently the personal transformation and remodelling of genomic architecture, yet the media theorist Mark Hansen thinks technology brings different solutions of framing function (Hansen, 2000). We believe that postmodern deconstruction does not necessarily damage memory, especially in the field of human multitasking that utilizes multimedia performative art by means of anthropologization of technology, thereby enhancing artistic and affective pre&amp;post-linguistic experience while unifying technology and humans through intuitive empathy in society.</em>

Using Social Media Marketing for Competitive Advantage

2016 ◽  
pp. 201-218
Author(s):  
Amir Manzoor
Keyword(s):  
Social Media ◽  
Competitive Advantage ◽  
Marketing Strategy ◽  
Marketing Strategies ◽  
Customer Relationships ◽  
Social Media Marketing ◽  
The Social ◽  
Social Media Tools ◽  
Use Of Social Media

Social media provides companies innovative ways to market their products and services to their customers. The social media tools, such as Facebook, provides new ways to reach customers. With increasing number of people being connected to social media, businesses of all types are targeting social media as a new platform to reach their customers and strengthen customer relationships. Still, many companies are unsure as to how they can use social media for their advantage. There is lack of resources and fear of failure that hold many companies back from using social media in their marketing campaigns. Companies need a set of guidelines to understand how they can develop long-term, successful marketing strategies that involve social media as a significant component. This chapter analyzes use of social media marketing to suggest some ways companies can use social media to generate value both for them and their customers. This chapter also discusses how companies can develop a social media marketing strategy.

scholarly journals CRITICAL SIMULATION: INVESTIGATING THE WORK OF MACHINE VISION IN VISUAL SOCIAL MEDIA CULTURE

2019 ◽  
Vol 2019 ◽  
Author(s):  
Nicholas Carah ◽  
Daniel Angus ◽  
Adam Smith
Keyword(s):  
Social Media ◽  
Machine Vision ◽  
Business Models ◽  
Participatory Culture ◽  
Media Culture ◽  
Commercial Application ◽  
Music Festival ◽  
Social Media Platforms ◽  
Visual Cultures

Social media are in the midst of an emphatic visual turn (Highfield & Leaver 2016), characterised by the convergence of everyday visual expression with professional creative practice and advertising. The advertising-driven business models of social media platforms increasingly depend on automation. Platforms’ use of machine vision is a key frontier in the algorithmic classification of culture. Machine vision algorithms automatically classify and misclassify faces, expressions, objects, and brand logos in the images users create and share. Images shared by platform users form vast databases used to train these same algorithms. Despite widespread use by social platforms, machine vision is poorly understood and accounted for in the study of everyday visual cultures. In this paper we detail a critical response to the use of automation in visual social media, called critical simulation. We outline a critical simulation framework, the ‘Image Machine’, focussed firstly on Instagram. The Image Machine comprises an Instagram data harvester, and open-access machine vision toolbox that allows digital humanities researchers to interrogate the inner workings of these algorithms and analyse their visual (mis)classifications. In this paper we showcase results from the Image Machine applied to images emanating from a major Australian music festival, Splendour in the Grass. This case examines not only how machine vision classifies and operates on culture, but also how these techniques are being operationalised within the advertising model and promotional culture of platforms like Instagram. We argue that the commercial application of machine vision is interdependent with the participatory culture of platforms like Instagram.

scholarly journals Polarity Classification Tool for Sentiment Analysis in Malay Language

2019 ◽  
Vol 8 (3) ◽  
pp. 259
Author(s):  
Normi Sham Awang Abu Bakar ◽  
Ros Aziehan Rahmat ◽  
Umar Faruq Othman
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
English Language ◽  
Sentiment Lexicon ◽  
The Social ◽  
Polarity Classification ◽  
Media Channels ◽  
Classification Tool

<p>The popularity of the social media channels has increased the interest among researchers in the sentiment analysis(SA) area. One aspect of the SA research is the determination of the polarity of the comments in the social media, i.e. positive, negative, and neutral. However, there is a scarcity of Malay sentiment analysis tools because most of the work in the literature discuss the polarity classification tool in English. This paper presents the development of a polarity classification tool called Malay Polarity Classification Tool(MaCT). This tool is developed based on the AFINN sentiment lexicon for English language. We have attempted to translate each word in AFINN to its Malay equivalent and later, use the lexicon to collect the sentiment data from Twitter. The Twitter data are then classified into positive, negative, and neutral. For the validation purpose, we collect 400 positive tweets, 400 negative tweets, and 200 neutral tweets, and later, run the tweets through our sentiment lexicon and found 90% score for precision, recall and accuracy. Our main contribution in the research is the new AFINN translation for Malay language and also the classification of the sentiment data.</p>

scholarly journals Popularization of Materials about Life and Creative Work of A.I. Solzhenitsyn in the Ryazan Regional Library

2018 ◽  
Vol 67 (6) ◽  
pp. 701-706
Author(s):  
Svetlana A. Antonenko
Keyword(s):  
Public Libraries ◽  
Cultural Development ◽  
Bibliographic Databases ◽  
Creative Work ◽  
Social Functions ◽  
The Public ◽  
Documentary Sources ◽  
The Social

Public libraries, realizing their social functions, contribute to the social and cultural development of the region. One of their main functions is education, dissemination of knowledge that forms the culture of person and worldview attitudes. The article reveals the long-term activity of the Ryazan regional universal scientific library named after Gorky on the information resources representing the pages of life and work of Alexander Solzhenitsyn, the Nobel Prize laureate in literature, Honorary citizen of Ryazan, the world famous writer and publicist, educator, public and political person. The author reveals the significance of creative work of A.I. Solzhenitsyn in the public life of Ryazan and the region; analyses the experience of library work with the documents from the library holdings. As example, the author presents educational projects implemented in the partnership with organizations and institutions of the city: the Scientific and educational centre for the study of heritage of A.I. Solzhenitsyn, the Ryazan Solzhenitsyn society, as well as with writers and local historians. The article considers classification of types of resources on A.I. Solzhenitsyn, including personal documentary sources of the writer’s life, the documents of book collections of libraries, bibliographic databases, catalogues and card files, electronic resources created by librarians; provides examples of the above resource groups, including electronic ones collected through partner organizations and posted on the website of the Ryazan regional universal scientific library named after Gorky.

“I AM HERE AND I MATTER”

2021 ◽  
Author(s):  
Lauren Zentz
Keyword(s):  
Social Media ◽  
Peer Pressure ◽  
Grassroots Organizations ◽  
Communicative Behavior ◽  
Political Crises ◽  
The Social ◽  
Political Activist ◽  
Social Media Platforms ◽  
Analytical Frameworks

Abstract In this article I operationalize the term “virtue signaling”, a term generally pejoratively used towards people’s assertions of values on social media platforms, as “moral-political stancetaking”, an activity that is actually quite common on- and offline and that works to exert peer pressure toward onlookers and addressees so that they will adopt certain values. Using analytical frameworks of small stories and stance, I examine a narrative sequence from one political activist, demonstrating how she situates long-term aspects of her biography in relation to present moral-political crises in order to make assertions that culminate in the construction of a moral-political framework for the progressive grassroots organizations that she leads. Through this analysis I assert that the notion of virtue signaling, while new to the social media era, fits well within repertoires of communicative behavior that long pre-date the rise of social media.

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