Influência das redes sociais na intenção de compra das marcas

O presente trabalho de investigação pretende compreender a influência da presença das marcas nas redes sociais, nomeadamente no Facebook, na intenção de compra do consumidor no ponto de venda.É feita uma revisão de literatura à panóplia de conceitos de marketing e comunicação de marketing digital, ao consumidor e à decisão de compra e ao social media online, sendo dado maior enfâse à relação entre consumidor e as marcas presentes no Facebook. A investigação é dividida em duas fases, uma fase qualitativa de análise à estratégia digital das marcas e uma fase quantitativa de análise ao comportamento do consumidor.

The pragmatics of computer-mediated communication between South African and Mexican drug traffickers

South Africa and Mexico are ripe with drug trafficking. The gangs and syndicates running the drug businesses in these two countries collaborate occasionally. Communication between these international drug business partners takes place on social media. Their main language of communication is English, mixed with some limited use of Spanish and Afrikaans. The key purpose of the interactions between the South African and Mexican parties is the organisation of their business activities. This study aims at examining how the drug traffickers position each other and themselves regarding their common business interest and how their relationship evolves throughout their interactions. Moreover, it is of interest to look at how these people make use of different social media and their affordances. For this a qualitative analysis of the interaction between two drug traffickers (one South African and one Mexican) on Facebook, Threema and PlayStation 4 was performed. Computer-mediated communication between these two main informants was studied at various stages of their relationship. Results show that at first the interaction between the South African and Mexican drug traffickers consists of interpersonal negotiations of power. The high risk of the drug business and gang/syndicate membership paired with intercultural frictions causes the two interlocutors to be extremely cautious and at the same time to mark their position. As their relationship develops and they gain trust in each other a shift to interpersonal negotiations of solidarity takes place. In these discursive practices diverse linguistic strategies are employed for creating relational effects and for positioning the other and the self. The discursive activities of the interactants are also identity practices. Thus, the two drug traffickers construct identities through these social practices, positioning and their interpersonal relationship.

Kvinnligt och manligt på sociala medier : En kvantitativ studie om medieanvändning och negativa känslor

In the present study the use and experience of using social media was examined in men and women in order to evaluate a possible relationship to gender. Particular emphasis was placed upon negative emotions. A questionnaire was constructed and submitted via Facebook by an online survey. There were 61 women and 50 men who completed the questionnaire. It was found that women and men used social media similarly with regard to frequency and the kind of social media they approached. Both genders used social media on a daily basis and both had profiles on the most popular social network sites as Facebook, Instagram, YouTube and Snapchat. The main purpose for using social media was to maintain already established friend relationships and to take part of other peoples content. A majority of the women but not the men used blogs, whereas a majority of the men but not the women used Twitter more frequently. The study also indicated a sex difference concerning the contents they took part of in the social media. More women took part of content that was related to a female stereotypic image whereas more men took part of content that was related to a male stereotypic image. There was no gender difference concerning contents such as fashion, entertainment, humour, news or politics. In the women there was a significant relationship between the use of social media and negative emotions. However, in the men, such a relationship was not found. The results indicate that more women tend to experience negative emotions when active on social media. More women experienced life as meaningless and boring, as well as stress after consuming contents in social media. They also did compare their life with others on social media leaving them with negative feelings. Such relationships could not be found in the men. In conclusion the present study indicated that for many aspects the use of social media is similar in women and men. However there seems to be a difference with regard to the experience of negative emotions in relation to the use of social media in women but not in men. 

Should I share this? : support awareness of social sharing practice that might compromise online privacy and reputation

Thesis (Master's)--University of Washington, 2016-06

MÍDIAS SOCIAIS ON-LINE: o consumidor fala, mas quem escuta?

Sob o prisma da comunicação mercadológica, esse trabalho se propõe investigar o novo perfil de consumidor que, conectado a uma ampla rede de pessoas, influencia e até comanda diversas mudanças na forma de produzir e vender bens e serviços. A comunicação passa a ser mais horizontal do que vertical, pois os consumidores manifestam-se nas mídias sociais on-line e interagem com seus pares, e muitas empresas demonstram dificuldades em perceber o início desse crescente poder de manifestação do consumidor. O propósito desta pesquisa é investigar até que ponto os consumidores estão conseguindo ser ouvidos pelas empresas por meio das mídias sociais on-line. A metodologia aplicada foi o Estudo de Casos Múltiplos de empresas do setor de telefonia celular. Construiu-se um instrumento de pesquisa e, por meio de análise de conteúdo dos comentários coletados durante três meses nas páginas da TIM e da CLARO no Facebook, os resultados apontam uma dificuldade muita grande das empresas do setor de telefonia em ouvir os consumidores.

ESTRATÉGIAS DE COMUNICAÇÃO ORGANIZACIONAL DIGITAL: O ESTUDO DE CASO DA EMBRAPA

Com o surgimento da internet e sua posterior utilização como meio de comunicação, torna-se necessário conhecer, por meio de análise de bibliografia sobre comunicação e internet, além de observação empírica do ambiente digital, que possibilidades de melhoria nos processos de comunicação organizacional se abrem a partir da incorporação do uso da internet (mídias e redes sociais) às estratégias de comunicação das instituições. O estudo tem por finalidade analisar o processo de inserção da Embrapa no ambiente das mídias e redes sociais, quais as estratégias que adotou para se preparar para ingressar de maneira institucional nesse ecossistema e como ela utiliza-se das estratégias de comunicação organizacional digital para divulgar suas ações e fortalecer o relacionamento com seus públicos de interesse. Além disso, serão apresentados modelos de estratégias e abordada a importância do planejamento (com estabelecimento de objetivos, definição de públicos) e do monitoramento quando se pretende atuar no ambiente digital de maneira estratégica. O método consiste em um estudo de caso no qual será analisada a atuação da Embrapa na rede social Facebook, por meio de uma revisão de literatura, pesquisa documental, análise de conteúdo e entrevistas semiestruturadas.

On the k-anonymization of time-varying and multi-layer social graphs

The popularity of online social media platforms provides an unprecedented opportunity to study real-world complex networks of interactions. However, releasing this data to researchers and the public comes at the cost of potentially exposing private and sensitive user information. It has been shown that a naive anonymization of a network by removing the identity of the nodes is not sufficient to preserve users’ privacy. In order to deal with malicious attacks, k -anonymity solutions have been proposed to partially obfuscate topological information that can be used to infer nodes’ identity. In this paper, we study the problem of ensuring k anonymity in time-varying graphs, i.e., graphs with a structure that changes over time, and multi-layer graphs, i.e., graphs with multiple types of links. More specifically, we examine the case in which the attacker has access to the degree of the nodes. The goal is to generate a new graph where, given the degree of a node in each (temporal) layer of the graph, such a node remains indistinguishable from other k-1 nodes in the graph. In order to achieve this, we find the optimal partitioning of the graph nodes such that the cost of anonymizing the degree information within each group is minimum. We show that this reduces to a special case of a Generalized Assignment Problem, and we propose a simple yet effective algorithm to solve it. Finally, we introduce an iterated linear programming approach to enforce the realizability of the anonymized degree sequences. The efficacy of the method is assessed through an extensive set of experiments on synthetic and real-world graphs.

Privacy and the City:user identification and location semantics in location-based social networks

With the advent of GPS enabled smartphones, an increasing number of users is actively sharing their location through a variety of applications and services. Along with the continuing growth of Location-Based Social Networks (LBSNs), security experts have increasingly warned the public of the dangers of exposing sensitive information such as personal location data. Most importantly, in addition to the geographical coordinates of the user’s location, LBSNs allow easy access to an additional set of characteristics of that location, such as the venue type or popularity. In this paper, we investigate the role of location semantics in the identification of LBSN users. We simulate a scenario in which the attacker’s goal is to reveal the identity of a set of LBSN users by observing their check-in activity. We then propose to answer the following question: what are the types of venues that a malicious user has to monitor to maximize the probability of success? Conversely, when should a user decide whether to make his/her check-in to a location public or not? We perform our study on more than 1 million check-ins distributed over 17 urban regions of the United States. Our analysis shows that different types of venues display different discriminative power in terms of user identity, with most of the venues in the “Residence” category providing the highest re-identification success across the urban regions. Interestingly, we also find that users with a high entropy of their check-ins distribution are not necessarily the hardest to identify, suggesting that it is the collective behaviour of the users’ population that determines the complexity of the identification task, rather than the individual behaviour.

Coding together at scale:GitHub as a collaborative social network

GitHub is the most popular repository for open source code (Finley 2011). It has more than 3.5 million users, as the company declared in April 2013, and more than 10 million repositories, as of December 2013. It has a publicly accessible API and, since March 2012, it also publishes a stream of all the events occurring on public projects. Interactions among GitHub users are of a complex nature and take place in different forms. Developers create and fork repositories, push code, approve code pushed by others, bookmark their favorite projects and follow other developers to keep track of their activities. In this paper we present a characterization of GitHub, as both a social network and a collaborative platform. To the best of our knowledge, this is the first quantitative study about the interactions happening on GitHub. We analyze the logs from the service over 18 months (between March 11, 2012 and September 11, 2013), describing 183.54 million events and we obtain information about 2.19 million users and 5.68 million repositories, both growing linearly in time. We show that the distributions of the number of contributors per project, watchers per project and followers per user show a power-law-like shape. We analyze social ties and repository-mediated collaboration patterns, and we observe a remarkably low level of reciprocity of the social connections. We also measure the activity of each user in terms of authored events and we observe that very active users do not necessarily have a large number of followers. Finally, we provide a geographic characterization of the centers of activity and we investigate how distance influences collaboration.

Making sense of microposts (#MSM2013) concept extraction challenge

Microposts are small fragments of social media content that have been published using a lightweight paradigm (e.g. Tweets, Facebook likes, foursquare check-ins). Microposts have been used for a variety of applications (e.g., sentiment analysis, opinion mining, trend analysis), by gleaning useful information, often using third-party concept extraction tools. There has been very large uptake of such tools in the last few years, along with the creation and adoption of new methods for concept extraction. However, the evaluation of such efforts has been largely consigned to document corpora (e.g. news articles), questioning the suitability of concept extraction tools and methods for Micropost data. This report describes the Making Sense of Microposts Workshop (#MSM2013) Concept Extraction Challenge, hosted in conjunction with the 2013 World Wide Web conference (WWW'13). The Challenge dataset comprised a manually annotated training corpus of Microposts and an unlabelled test corpus. Participants were set the task of engineering a concept extraction system for a defined set of concepts. Out of a total of 22 complete submissions 13 were accepted for presentation at the workshop; the submissions covered methods ranging from sequence mining algorithms for attribute extraction to part-of-speech tagging for Micropost cleaning and rule-based and discriminative models for token classification. In this report we describe the evaluation process and explain the performance of different approaches in different contexts.

Pub crawling at scale:tapping untappd to explore social drinking

There has been a recent surge of research looking at the reporting of food consumption on social media. The topic of alcohol consumption, however, remains poorly investigated. Social media has the potential to shed light on a topic that, traditionally, is difficult to collect fine-grained information on. One social app stands out in this regard: Untappd is an app that allows users to ‘check-in’ their consumption of beers. It operates in a similar fashion to other location-based applications, but is specifically tailored to the collection of information on beer consumption. In this paper, we explore beer consumption through the lens of social media. We crawled Untappd in real time over a period of 112 days, across 40 cities in the United States and Europe. Using this data, we shed light on the drinking habits of over 369k users. We focus on per-user and per-city characterisation, highlighting key behavioural trends.

More Than Words, Brand Destruction in the Online Sphere

The focus of this paper is brand destruction, however in a slightly different sense than the traditional marketing literature depicts it. The concept of brand destruction basically tends to be discussed either (1) as an accidental, counter-productive event in a campaign which leads to the ruining of the brand, or (2) an intentional act by competitors in the market, which results the same breakdown mentioned above. As this paper shows, there are other ways to consider as well, when speaking about brand destruction. An often overlooked type of brand destruction is a rather new phenomenon: destroying the brand by customers or business partners. The adequate scene for this case is the internet itself, especially different social media platforms, e. g. Facebook, Twitter, Tumblr, Instagram, etc. Also popular weblogs can play an important role in brand destruction made by customers or business partners (general cases related to social media are depicted in Lipsman – Mud – Rich – Bruich, 2012). This paper presents a couple of cases in the online field and focuses basically on online communicative activities, in which a brand’s negative properties come to discussion. Both Hungarian and foreign examples are easy to find and they all demonstrate the growing power of consumers. This observation led marketing experts to start talking about the ‘smooth seizure of power by consumers’. Whilst the critic of this concept is considered to be relevant, this paper describes the elements and methods of the ‘seizure’ – from an online social point of view. The key of handling brand destruction cases efficiently lies in the role of social media users. They are not only consumers, but the opportunity for producing online contents is in their hands as well – this fact results in the idea of ‘prosumers’. Thus customers on social media platforms must be handled as a ‘critical mass’: as civic warriors with strong weapons in their armoury. No companies are allowed to feel safe, as the slightest error may well be punished by the crowd.

Hogyan kezeljük a „közösségi ügyfeleket”? – Social CRM marketing és IT megközelítésben (How to manage social customer? Social CRM in marketing and IT context.)

Van egy szó, ami egyre fontosabb lesz a társadalom és a vállalatok számára is, ez a szó a közösség. A közösséghez tevékenységek tartoznak, és ezen a ponton kapcsolódik be a vállalat. A vállalkozások az elmúlt években a közösségi igényeket a CRM-(Customer Relationship Management) megoldásokkal szolgálták ki. Informatikailag a közösségi hálózatok, már nemcsak vállalkozási folyamatot, hanem ehhez kapcsoltan az emberek társadalmi igényét is megpróbálják lefedni az elektronika lehetőségeivel. Egyre inkább a közösségi vállalkozások korát éljük, melyben a folyamathoz tartozó közösségek megosztják, egymás rendelkezésére bocsátják az információkat. A korábbi klasszikus CRM-rendszerek csak begyűjtötték az információkat, ezzel ellenben a közösségi CRM-rendszerek kétirányú kommunikációt folytatnak, párbeszédet kezdeményeznek az ügyfelekkel, buzdítják őket, hogy mondják el a véleményüket. Vajon ez az új stratégia,egy teljesen új világot hoz el a vállalatok számára, vagy csak a CRM fejlődésének egy újabb fokát jelenti? A szerzők erre a kérdésre keresik a választ gyakorlati esetek és szakirodalmi publikációk feldolgozásával. ______ There is a word that begins to be more and more important for the society and the companies, and this word is community. We can talk about social networks, people seek the social demand they already had as a part of their lives for a long time, and this means that it appears in the electronic society as an essential need too. The community is not enough, activities are also needed and this is the point where the companies link in, who promote their goods and facilities to the outside world and with this they use the next stage of customer relationship management, the fulfilment of social needs. We live in the age of social shopping, communities are everywhere and everyone shares information, and up to the present classic CR M systems ran from static databases. On the contrary social CR M systems perform a two-way communication, start a conversation with customers and encourage them to tell their opinions, which always changes on social media, so they build a dynamic database and communicate with customers through response-reactions. Does this new strategy bring a whole new world to companies or is it only another step in the development and another channel of CRM?

Online News Media Impact on Disaster Response: October 26, 2010 Indonesian Disaster Case Study

This paper reflects a research project on the influence of online news media (from print, radio, and televised outlets) on disaster response. Coverage on the October 2010 Indonesian tsunami and earthquake was gathered from 17 sources from October 26 through November 30. This data was analyzed quantitatively with respect to coverage intensity over time and among outlets. Qualitative analyses were also conducted using keywords and value scale that assessed the degree of positivity or negativity associated with that keyword in the context of accountability. Results yielded insights into the influence of online media on actors' assumption of accountability and quality of response. It also provided information as to the optimal time window in which advocates and disaster management specialists can best present recommendations to improve policy and raise awareness. Coverage of outlets was analyzed individually, in groups, and as a whole, in order to discern behavior patterns for a better understanding of media interdependency. This project produced analytical insights but is primarily intended as a prototype for more refined and extensive research.

Mining the online social network data: Influence, summarization, and organization

Online Social Network (OSN) services provided by Internet companies bring people together to chat, share the information, and enjoy the information. Meanwhile, huge amounts of data are generated by those services (they can be regarded as the social media ) every day, every hour, even every minute, and every second. Currently, researchers are interested in analyzing the OSN data, extracting interesting patterns from it, and applying those patterns to real-world applications. However, due to the large-scale property of the OSN data, it is difficult to effectively analyze it. This dissertation focuses on applying data mining and information retrieval techniques to mine two key components in the social media data — users and user-generated contents. Specifically, it aims at addressing three problems related to the social media users and contents: (1) how does one organize the users and the contents? (2) how does one summarize the textual contents so that users do not have to go over every post to capture the general idea? (3) how does one identify the influential users in the social media to benefit other applications, e.g., Marketing Campaign? The contribution of this dissertation is briefly summarized as follows. (1) It provides a comprehensive and versatile data mining framework to analyze the users and user-generated contents from the social media. (2) It designs a hierarchical co-clustering algorithm to organize the users and contents. (3) It proposes multi-document summarization methods to extract core information from the social network contents. (4) It introduces three important dimensions of social influence, and a dynamic influence model for identifying influential users.