Digital Etiquette on the Social Network Facebook - Psychosocial Study of the Contents of Facebook Pages  Sosyal Ağ Facebook'ta Dijital Görgü Kuralları -Facebook Sayfalarının İçeriklerinin Psikososyal Açıdan İncelenmesi

Facebook has long considered media as partners, and therefore creates various tools to work with their audience. In turn, media companies and content providers use Facebook not only to increase traffic, but also to better understand their users. This study compares web pages of the three leading Latvian news portals (Delfi.lv, Apollo.lv and TVNET.lv) in order to study the effectiveness of using all the features provided by functionality of a social network. Applying conversionary analysis to build a typical communicative model and taking into consideration characteristic features of social network, it is established that the type of content significantly affects the user’s actions. It is revealed that the functionality of social network has characteristic features, among which is communication and entertainment component, as well as socialization and self-presentation. In order to obtain quantitative indicators necessary for modeling, we have used web service of content analytics of social networks: ER, LR, TR metrics are used to analyze dive depth, visit frequency and Facebook page mapping. The obtained results indicate a low level of user behavior on the pages of the examined portals in Facebook. The uniform distribution of attention of visitors between photos, text and hyperlinks does not allow to identify priority formats. It has been established that Facebook pages of online news resources are likely to be non-priority media activity, the task of which is to ensure the presence of resources in the system of social media and increase intensity of information exchange. The study shows that there is no systematic work on integrated representation of Latvian news portals Delfi, TVNet and Apollo on Facebook. Editorial offices do not adapt publications to the specifics of the social network without formatting content, but mainly promote links that lead to the official media portal. The general lack of hashtags system indicates minimal optimization of editorial content for the social network Facebook.

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The influence of negative consumer reviews in social networks

Online Journal of Applied Knowledge Management ◽

10.36965/ojakm.2016.4(2)44-58 ◽

2016 ◽

Vol 4 (2) ◽

pp. 44-58 ◽

Cited By ~ 1

Author(s):

Ruti Gafni ◽

Osnat Tal Golan

Keyword(s):

Social Networks ◽

Social Network ◽

Social Networking ◽

Research Study ◽

Purchase Decisions ◽

Sources Of Information ◽

Consumer Reviews ◽

The Social ◽

Facebook Pages ◽

Buying Decisions

The social networking revolution allows people to share their opinions with their surrounding society, enabling the ability to influence others. Large amounts of consumer reviews are posted on social networks, expressing experiences, either positive or negative, regarding products/services. These reviews are instantly distributed within a huge network of consumers, challenging the firms' managers who need to cope with that. This research study examines the phenomenon of consumers' reviews posted on social networks to measure the influence of negative reviews on the reader's buying decisions and on the firms' attitudes. This research study examines if there are differences between active users, who post and share reviews, and passive users who only read what others posted. This research study was performed merging three sources of information: (1) monitoring consumer posts on three Facebook pages during six months; (2) performing a relevant questionnaire among 201 respondents, and (3) checking the related firms' reaction to those posts. The findings revealed that potential consumers base their decisions on posted reviews; they are exposed to negative reviews that affect their purchase decisions, incoherently to the manner they use the social network (active or passive users), while the firms mostly react, in order to diminish their influence.

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Engagement and Performance Studies of Media Agencies Publications on Social Networks

International Journal of Recent Contributions from Engineering Science & IT (iJES) ◽

10.3991/ijes.v8i3.16949 ◽

2020 ◽

Vol 8 (3) ◽

pp. 4

Author(s):

Mohcine Kodad

Keyword(s):

Social Networks ◽

Social Network ◽

Performance Studies ◽

Research Work ◽

Future Research ◽

The Social ◽

The World ◽

And Performance ◽

Interaction Strategy ◽

Facebook Pages

This paper presents a study that contributes to the existing work on the social diffusion and interaction strategy in social media. The aim is to know the most shared post by some electronic media in the world from end to end social network, and also to know post nature of the most successful one, and the link between different kind of interaction these are main objectives of this study. Our work is also considered as a ground and a base for social network analysis researchers in all social networks in order to allow them to benefit and help in their future research work from all information collected and results found via this study. An empirical analysis using multiple methods is conducted based on 275 Facebook publications gathered from the Facebook pages of 5 electronics journals the best one in its original country represented 5 countries in the world. This contribution discovered a set of important information and it is also projected to confirm hypothesis addressed in pre-existing studies

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Towards Inferring Influential Facebook Users

Computers ◽

10.3390/computers10050062 ◽

2021 ◽

Vol 10 (5) ◽

pp. 62

Author(s):

Suleiman Ali Alsaif ◽

Adel Hidri ◽

Minyar Sassi Hidri

Keyword(s):

Machine Learning ◽

Social Networks ◽

Social Network ◽

Exploratory Analysis ◽

Machine Learning Algorithms ◽

Statistical Tools ◽

Social Actors ◽

Graph Modeling ◽

The Social ◽

Facebook Pages

Because of the complexity of the actors and the relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze the effectiveness of the network for the social actors who are there. This work presents a social network analysis approach that focused on processing Facebook pages and users who react to posts to infer influential people. In our study, we are particularly interested in studying the relationships between the posts of the page, and the reactions of fans (users) towards these posts. The topics covered include data crawling, graph modeling, and exploratory analysis using statistical tools and machine learning algorithms. We seek to detect influential people in the sense that the influence of a Facebook user lies in their ability to transmit and disseminate information. Once determined, these users have an impact on business for a specific brand. The proposed exploratory analysis has shown that the network structure and its properties have important implications for the outcome of interest.

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Influencia del marketing a través de facebook en la economía de negocios locales de Santa Rosa, Provincia de El Oro

Revista Científica y Tecnológica UPSE ◽

10.26423/rctu.v3i1.79 ◽

2015 ◽

Vol 3 (1) ◽

pp. 116-126

Author(s):

Tatiana Sánchez

Keyword(s):

Social Network ◽

Multiple Choice ◽

Multiple Choice Questions ◽

The Social ◽

Marketing Tool ◽

La Red ◽

Facebook Pages

El presente trabajo tiene como finalidad medir la influencia de la promoción de productos y servicios por medio de la red social Facebook en los ingresos de los negocios locales de la ciudad de Santa Rosa perteneciente a la provincia de El Oro. Para este estudio, se seleccionó intencionalmente a cinco negocios locales del cantón Santa Rosa ubicado en la provincia de El Oro: un bar-discoteca, un almacén de electrodomésticos y muebles, un hostal, una boutique y una picantería. A los propietarios de estosnegocios se les aplicó una encuesta de base objetiva. De igual forma, las respuestas de otra encuesta aplicada a cien clientes -veinte por cada negocio- forman también parte de los resultados de esta investigación. Esta información fue corroborada por medio de la observación de la informacióndisponible en las páginas de Facebook de los negocios bajo estudio. Como componente de la metodología del presente reporte, se procedió a analizar los datos obtenidos en las encuestas antes mencionadas cuantitativamente. Los resultados del análisis de los datos demostraron que la promoción de productos y servicios a través de la red social Facebook ha influido positivamente en la economía de los negocios de Santa Rosa. De igual forma, los resultados demuestran que los comercios que han utilizado esta herramienta como medio de marketing por mayor tiempo, realizan actualizaciones de la publicidad con más frecuencia, lo que incide en el incremento de clientes y por ende el incremento de losingresos recibidos por ventas. AbstractThis study aims at measuring the influence of promoting products and services through the social network Facebook in the revenue of local businesses of Santa Rosa, a city that belongs to El Oro province. For this study, we intentionally selected five local businesses located in Santa Rosa: a discobar, an appliance and furniture store, a hostel, a boutique and a seafood restaurant. The owners of these businesses were given a survey with multiple choice questions. Similarly, the responses of another surveyapplied to one hundred customers -twenty for each business- are also part of the results of this research.The information gathered from the first survey was corroborated by observing the information available on the Facebook pages of the businesses under study. For the methodology of this report, we proceededto quantitatively analyze the data obtained from the surveys specified. The results of the analysis of the data showed that promoting products and services through the social network Facebook has positively influenced the economy of Santa Rosa. Similarly, the results show that businesses that have used this as a marketing tool for longer perform advertising updates more frequently, which may positively affect the increase in customers and thus raising the income received sales.

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The social network

Skin & Allergy News ◽

10.1016/s0037-6337(13)70045-7 ◽

2013 ◽

Vol 44 (2) ◽

pp. 22

Author(s):

ALAN ROCKOFF

Keyword(s):

Social Network ◽

The Social

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The Multilevel p2 Model

Methodology ◽

10.1027/1614-2241.2.1.42 ◽

2006 ◽

Vol 2 (1) ◽

pp. 42-47 ◽

Cited By ~ 47

Author(s):

Bonne J. H. Zijlstra ◽

Marijtje A. J. van Duijn ◽

Tom A. B. Snijders

Keyword(s):

Social Network ◽

Network Data ◽

Mcmc Algorithm ◽

Independent Observation ◽

Single Observation ◽

Multiple Networks ◽

Social Network Data ◽

Multiple Observations ◽

Practical Support ◽

The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

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КОМУНІКАТИВНА КОМПЕТЕНТНІСТЬ У ПОЛІТИЧНОМУ ДИСКУРСІ (НА ПРИКЛАДІ ОФІЦІЙНИХ СТОРІНОК НАРОДНИХ ДЕПУТАТІВ У СОЦІАЛЬНІЙ МЕРЕЖІ «ФЕЙСБУК»)

State and Regions. Series: Social Communications ◽

10.32840/cpu2219-8741/2020.2(42).1 ◽

2020 ◽

pp. 4

Author(s):

T. Sashchuk

Keyword(s):

Social Network ◽

Subject Matter ◽

Communicative Competence ◽

Professional Activity ◽

First Person ◽

Short Text ◽

Scientific Methods ◽

Content Analysis Method ◽

General Scientific ◽

Facebook Pages

<div>The article presents the results of the study of the communicative competence of the politicians on the basis of the analysis of their messages on their official pages of the Facebook social network. The research used the following general scientific methods: descriptive and comparative, as well as analysis, synthesis and generalization. The quantitative content analysis method with qualitative elements was used to distinguish the peculiarities of information messages that provide communication of the deputies of Verkhovna Rada (Ukrainian Parliament) on their official Facebook pages. Information messages have been analyzed by the following three criteria: subject matter, structure and language.</div> For the first time the article draws a parallel between communicative competence and the ability to communicate with voters on the official pages of Facebook which is the most popular social network in Ukraine. As it is established, communicative competence in the analyzed cases is caused not by education, but by previous professional activity of a politician. The most successful and high-quality communication was from the current parliamentarian who worked as a journalist in the past. More than half of the messages that provided successful communication consisted of sufficiently structured short text and a video. The topic covers the activity of the parliamentarian in the Verkhovna Rada and in his district. More than half of the messages are spoken in the first person.The findings of the study can be used in teaching such subjects as Political PR and Electronic PR, and may be of interest to politicians and their assistants.Key words: competence and competency, communicative competence, political discourse, official page of the deputy of Verkhovna Rada of Ukraine on the Facebook social network, subject matter and structure of the information message, first-person narrative, correspondence of communication to the level of communicative competence.

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ПРАГМАТИЧНИЙ ПОТЕНЦІАЛ НАТИВНОЇ РЕКЛАМИ: ФОРМИ, ТРЕНДИ (НА ПРИКЛАДІ НАТИВНОГО КОНТЕНТУ В СОЦІАЛЬНІЙ МЕРЕЖІ FACEBOOK ЩОДО БРЕНДА ФАКУЛЬТЕТУ ЖУРНАЛІСТИКИ ЗНУ)

State and Regions. Series: Social Communications ◽

10.32840/cpu2219-8741/2020.1(41).18 ◽

2020 ◽

pp. 113

Author(s):

V. Kovpak ◽

N. Trotsenko

Keyword(s):

Social Network ◽

Professional Training ◽

Educational Process ◽

Communication Strategy ◽

Student Centered ◽

Teacher Student ◽

The Social ◽

National University ◽

High Level ◽

The Impact

<div>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</div>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).Key words: nativeness, native advertising, branded content, special project, communication strategy.

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Emotive Trending And Tracking of Tweets

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v7i11.463 ◽

2017 ◽

Vol 7 (11) ◽

pp. 25

Author(s):

Sanjay Chhataru Gupta

Keyword(s):

Social Networks ◽

Social Media ◽

Social Network ◽

The Social ◽

The World ◽

Complex Events

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.

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