Informed, uninformed and participative consent in social media research

The use of online data is becoming increasingly essential for the generation of insight in today’s research environment. This reflects the much wider range of data available online and the key role that social media now plays in interpersonal communication. However, the process of gaining permission to use social media data for research purposes creates a number of significant issues when considering compatibility with professional ethics guidelines. This paper critically explores the application of existing informed consent policies to social media research and compares with the form of consent gained by the social networks themselves, which we label ‘uninformed consent’. We argue that, as currently constructed, informed consent carries assumptions about the nature of privacy that are not consistent with the way that consumers behave in an online environment. On the other hand, uninformed consent relies on asymmetric relationships that are unlikely to succeed in an environment based on co-creation of value. The paper highlights the ethical ambiguity created by current approaches for gaining customer consent, and proposes a new conceptual framework based on participative consent that allows for greater alignment between consumer privacy and ethical concerns.

DIANA: análisis del discurso para la comprensión del conocimiento

DIANA es un proyecto coordinado en el que participan el grupo de Ingeniería del Lenguaje Natural y Reconocimiento de Formas (ELiRF) de la Universitat Politècnica de València y el grupo Centre de Llenguatge i Computació (CLiC) de la Universitat de Barcelona. Se trata de un proyecto del programa de I+D (TIN2012-38603) financiado por el Ministerio de Economía y Competitividad. Paolo Rosso coordina el proyecto DIANA y lidera el subproyecto DIANA-Applications y M. Antònia Martí lidera el subproyecto DIANA-Constructions.

Real-time detection, tracking, and monitoring of automatically discovered events in social media

We introduce ReDites, a system for realtime event detection, tracking, monitoring and visualisation. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. Events are automatically detected from the Twitter stream. Then those that are categorised as being security-relevant are tracked, geolocated, summarised and visualised for the end-user. Furthermore, the system tracks changes in emotions over events, signalling possible flashpoints or abatement. We demonstrate the capabilities of ReDites using an extended use case from the September 2013 Westgate shooting incident. Through an evaluation of system latencies, we also show that enriched events are made available for users to explore within seconds of that event occurring.

Digital Humanities For Everyone’s Benefit?: interplay in social media with the great audience, high-esteemed researcher and self-conscious library

The National Library of Finland realizes the Digitization Project of Kindred Languages in 2012–15. The project is financially supported by the Kone Foundation. During this project the National Library of Finland has digitized and made available approximately 1200 monograph and more than 100 newspaper titles in several Uralic languages. The materials are available to both researchers and citizens in the National Library’s Fenno-Ugrica collection. The project will produce digitized materials in the Uralic languages as well as their development tools to support linguistic research and citizen science. The resulting materials will constitute the largest resource for the Uralic languages in the world. Through this project, researchers will gain access to corpora which they have not been able to study before and to which all users will have open access regardless of their place of residence. In my presentation, I will discuss 1) how we utilized the social media (Facebook, Twitter, VKontakte etc) to gain audience for our collection and 2) how the needs of researchers and laymen were met in crowdsourcing.

Digital content and making it viral in social media

Tutkimuksen tavoite on selvittää digitaalisen sisällön ominaisuuksia, jotka vaikuttavat ryhtyvätkö kuluttajat jakamaan, tykkäämään ja kommentoimaan sitä sosiaalisessa mediassa. Tällä pyritään auttamaan yrityksiä ymmärtämään paremmin viraalisuutta, jotta he pystyisivät tuottamaan ja julkaisemaan nettisivuillaan ja sosiaalisessa mediassa parempaa sisältöä, jota kuluttajat jakaisivat enemmän. Tutkimus toteutetaan muodostamalla hypoteeseja mahdollisista ominaisuuksista kirjallisuuden perusteella ja testaamalla niitä regressioanalyyseillä empiirisessä osiossa. Tulokset paljastavat yhdeksän piirrettä, jotka lisäävät viraalisuutta: kiinnostavuus, neutraalisuus, yllättävyys, viihdyttävyys, epäkäytännöllisyys, artikkelin ja Facebook julkaisun pituus, eri sisältö taktiikoiden käyttö (erityisesti blogit ja kuvat lisäävät viraalisuutta) sekä kun mielipidevaikuttaja tai kuuluisuus jakaa sisällön.

Content marketing and brand engagement on social media: a study of Facebook´s posts in the ecommerce industry in Brazil

Content marketing refers to marketing format that involves the creation and sharing of media and publishing content in order to acquire customers. It is focused not on selling, but on communicating with customers and prospects. In today world´s, a trend has been seen in brands becoming publishers in order to keep up with their competition and more importantly to keep their base of fans and followers. Content Marketing is making companies to engage consumers by publishing engaging and value-filled content. This study aims to investigate if there is a link between brand engagement and Facebook Content Marketing practices in the e-commerce industry in Brazil. Based on the literature review, this study defines brand engagement on Facebook as the numbers of "likes" "comments" and "shares" that a company receives from its fans. These actions reflect the popularity of the brand post and leads to engagement. The author defines a scale where levels of Content Marketing practices are developed in order to analyze brand posts on Facebook of an ecommerce company in Brazil. The findings reveal that the most important criterion for the company is the one regarding the picture of the post, where it examines whether the photo content is appealing to the audience. Moreover, it was perceived that the higher the level of these criterion in a post, the greater the number of likes, comments and shares the post receives. The time when a post is published does not present a significant role in determining customer engagement and the most important factor within a publication is to reach the maximum level in the Content Marketing Scale.

Methods and Techniques for Segmentation of Consumers in Social Media

Los medios sociales han revolucionado la manera en la que los consumidores se relacionan entre sí y con las marcas. Las opiniones publicadas en dichos medios tienen un poder de influencia en las decisiones de compra tan importante como las campañas de publicidad. En consecuencia, los profesionales del marketing cada vez dedican mayores esfuerzos e inversión a la obtención de indicadores que permitan medir el estado de salud de las marcas a partir de los contenidos digitales generados por sus consumidores. Dada la naturaleza no estructurada de los contenidos publicados en los medios sociales, la tecnología usada para procesar dichos contenidos ha menudo implementa técnicas de Inteligencia Artificial, tales como algoritmos de procesamiento de lenguaje natural, aprendizaje automático y análisis semántico. Esta tesis, contribuye al estado de la cuestión, con un modelo que permite estructurar e integrar la información publicada en medios sociales, y una serie de técnicas cuyos objetivos son la identificación de consumidores, así como la segmentación psicográfica y sociodemográfica de los mismos. La técnica de identificación de consumidores se basa en la huella digital de los dispositivos que utilizan para navegar por la Web y es tolerante a los cambios que se producen con frecuencia en dicha huella digital. Las técnicas de segmentación psicográfica descritas obtienen la posición en el embudo de compra de los consumidores y permiten clasificar las opiniones en función de una serie de atributos de marketing. Finalmente, las técnicas de segmentación sociodemográfica permiten obtener el lugar de residencia y el género de los consumidores. ABSTRACT Social media has revolutionised the way in which consumers relate to each other and with brands. The opinions published in social media have a power of influencing purchase decisions as important as advertising campaigns. Consequently, marketers are increasing efforts and investments for obtaining indicators to measure brand health from the digital content generated by consumers. Given the unstructured nature of social media contents, the technology used for processing such contents often implements Artificial Intelligence techniques, such as natural language processing, machine learning and semantic analysis algorithms. This thesis contributes to the State of the Art, with a model for structuring and integrating the information posted on social media, and a number of techniques whose objectives are the identification of consumers, as well as their socio-demographic and psychographic segmentation. The consumer identification technique is based on the fingerprint of the devices they use to surf the Web and is tolerant to the changes that occur frequently in such fingerprint. The psychographic profiling techniques described infer the position of consumer in the purchase funnel, and allow to classify the opinions based on a series of marketing attributes. Finally, the socio-demographic profiling techniques allow to obtain the residence and gender of consumers.

A weakly-supervised Bayesian model for violence detection from social media

Social streams have proven to be the mostup-to-date and inclusive information on cur-rent events. In this paper we propose a novelprobabilistic modelling framework, called violence detection model (VDM), which enables the identification of text containing violent content and extraction of violence-related topics over social media data. The proposed VDM model does not require any labeled corpora for training, instead, it only needs the in-corporation of word prior knowledge which captures whether a word indicates violence or not. We propose a novel approach of deriving word prior knowledge using the relative entropy measurement of words based on the in-tuition that low entropy words are indicative of semantically coherent topics and therefore more informative, while high entropy words indicates words whose usage is more topical diverse and therefore less informative. Our proposed VDM model has been evaluated on the TREC Microblog 2011 dataset to identify topics related to violence. Experimental results show that deriving word priors using our proposed relative entropy method is more effective than the widely-used information gain method. Moreover, VDM gives higher violence classification results and produces more coherent violence-related topics compared toa few competitive baselines.

Harnessing linked knowledge sources for topic classification in social media

Topic classification (TC) of short text messages offers an effective and fast way to reveal events happening around the world ranging from those related to Disaster (e.g. Sandy hurricane) to those related to Violence (e.g. Egypt revolution). Previous approaches to TC have mostly focused on exploiting individual knowledge sources (KS) (e.g. DBpedia or Freebase) without considering the graph structures that surround concepts present in KSs when detecting the topics of Tweets. In this paper we introduce a novel approach for harnessing such graph structures from multiple linked KSs, by: (i) building a conceptual representation of the KSs, (ii) leveraging contextual information about concepts by exploiting semantic concept graphs, and (iii) providing a principled way for the combination of KSs. Experiments evaluating our TC classifier in the context of Violence detection (VD) and Emergency Responses (ER) show promising results that significantly outperform various baseline models including an approach using a single KS without linked data and an approach using only Tweets. Copyright 2013 ACM.

An empirical study on uncertainty identification in social media context

Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in social media context because of its specific characteristics. In this paper, we propose a variant of annotation scheme for uncertainty identification and construct the first uncertainty corpus based on tweets. We then conduct experiments on the generated tweets corpus to study the effectiveness of different types of features for uncertainty text identification. © 2013 Association for Computational Linguistics.

Linguistic expression of irony in social media

Dissertação de Mestrado, Ciências da Linguagem, Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2014

Young adult Brazilian beauty consumers perception of Lancôme and the effectiveness of social media relationhips with local celebrities on their purchase intention

The aim of this research is to evaluate if a premium beauty brand, in this case, Lancôme, can influence positively the purchase intention from Brazilian young adults, between 18 and 29 years old, consumers of beauty products, by initiating a relationship with a local celebrity or “it” girl on social media. This hypothesis has not been tested, and this research is a first attempt of evaluating it. Additionally, the consumer behavior, brand preferences and social media activeness of this age segment in Brazil are further studied as important insights for beauty brands to conquer these consumers. Results did not confirm the positive influence of local celebrities on this age segment’s purchase intention but several suggestions are made for future research to revisit this topic. Furthermore, there is a significant brand love for M.A.C., an international Lancôme competitor, amongst this target, as well as a probable price sensitivity facing premium beauty brands.

Storytelling as a branding tool in social media

Tutkimuksen tavoitteena on kuvailla tarinankerrontaa brändin rakennuksen välineenä, ja selvittää mitkä ovat tarinankerronnan erityispiirteet sosiaalisessa mediassa. Aikaisempien teorioiden ja julkaisujen avulla kootaan viitekehys joka osoittaa käsitteiden vaikutukset toisiinsa. Tutkimus osoittaa tarinankerronnan vaikuttavan vahvistavasti kaikkiin brändipääoman ulottuvuuksiin, lähinnä tunteita herättävien ja muistettavuutta lisäävien ominaisuuksiensa ansiosta. Empiirisessä osiossa selvitetään laadullisen sisällönanalyysin keinoin kuinka yleistä brändien tarinankerronta tällä hetkellä on, ja kuvaillaan millaisia tarinoita yritykset kertovat. Aineisto koostuu sadan suosituimman brändin Facebookissa jakamista videomuotoisista tarinoista. Tutkimus osoitti, että brändien tarinankerronta sosiaalisessa mediassa on toistaiseksi melko vähäistä. Tarinat voidaan luokitella kirjallisuudesta tuttujen tarinatyyppien mukaisesti. Suurin osa brändien esittämistä tarinoista pyrkii synnyttämään yleisössä ihailun ja nostalgian tunteita, mutta useat tarinat myös sisältävät humoristisia piirteitä.

Backpacker 2.0 - Contemporary backpackers and their use of social media as an information and communication platform

Long-term independent budget travel to countries far away has become increasingly common over the last few decades, and backpacking has now entered the tourism mainstream. Nowadays, backpackers are a very important segment of the global travel market. Backpacking is a type of tourism that involves a lot of information search activities. The Internet has become a major source of information as well as a platform for tourism business transactions. It allows travelers to gain information very effortlessly and to learn about tourist destinations and products directly from other travelers in the form of electronic word-of-mouth (eWOM). Social media has penetrated and changed the backpacker market, as now modern travelers can stay connected to people at home, read online recommendations, and organize and book their trips very independently. In order to create a wider understanding on modern-day backpackers and their information search and share behavior in the Web 2.0 era, this thesis examined contemporary backpackers and their use of social media as an information and communication platform. In order to achieve this goal, three sub-objectives were identified: 1. to describe contemporary backpacker tourism 2. to examine contemporary backpackers’ travel information search and share behavior 3. to explore the impacts of new information and communications technologies and Web 2.0 on backpacker tourism The empirical data was gathered with an online survey, thus the method of analysis was mainly quantitative, and a qualitative method was used for a brief analysis of open questions. The research included both descriptive and analytical approaches, as the goal was to describe modern-day backpackers, and to examine possible interdependencies between information search and share behavior and background variables. The interdependencies were tested for statistical significance with the help of five research hypotheses. The results suggested that backpackers no longer fall under the original backpacker definitions described some decades ago. Now, they are mainly short-term travelers, whose trips resemble more those of mainstream tourists. They use communication technologies very actively, and particularly social media. Traditional information sources, mainly guide books and recommendations from friends, are of great importance to them but also eWOM sources are widely used in travel decision making. The use of each source varies according to the stage of the trip. All in all, Web 2.0 and new ICTs have transformed the backpacker tourism industry in many ways. Although the experience has become less authentic in some travelers’ eyes, the backpacker culture is still recognizable.

Re-shaping the Resourcing: Recruitment in Social Media

Social media is very current topic in today’s society and organisations. In the times of economic challenges, companies are looking for efficient ways to resource workforce. In addition, there is competition of competent workforce in employment markets. Employer image plays important role in recruitment as people seek to organisations they find interesting and have a reputation as a good employer. This study concerns the discussion on utilising social media in recruitment and employer image in a corporate enterprise. I will find solutions how to utilize social media in recruitment, in which channels and methods that can be done and what these actions require from a company doing social recruitment. I bring up the discussion and challenges that relate to starting to take social media into use in an organization overall and in recruitment. The qualitative material has been gathered with interviews of eighteen persons and the material available about the topic in the enterprise intranet. According to the study, social media is seen both as an opportunity to reach large amount of people quickly and cost-efficiently, but then again it brings news aspects for controlling the employer image and communication towards the audience. Taking social media into use as part of recruiters and managers daily work requires both finding the right channels and attention to the internal communication culture and resourcing. Social recruitment requires a strategy and a proper plan to be able to work in a company. There are several social media channels that enable to reach people, but they don’t do the social recruitment alone.