Connecting social media to e-commerce:cold-start product recommendation using microblogging information

In recent years, the boundaries between e-commerce and social networking have become increasingly blurred. Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. In this paper, we propose a novel solution for cross-site cold-start product recommendation, which aims to recommend products from e-commerce websites to users at social networking sites in 'cold-start' situations, a problem which has rarely been explored before. A major challenge is how to leverage knowledge extracted from social networking sites for cross-site cold-start product recommendation. We propose to use the linked users across social networking sites and e-commerce websites (users who have social networking accounts and have made purchases on e-commerce websites) as a bridge to map users' social networking features to another feature representation for product recommendation. In specific, we propose learning both users' and products' feature representations (called user embeddings and product embeddings, respectively) from data collected from e-commerce websites using recurrent neural networks and then apply a modified gradient boosting trees method to transform users' social networking features into user embeddings. We then develop a feature-based matrix factorization approach which can leverage the learnt user embeddings for cold-start product recommendation. Experimental results on a large dataset constructed from the largest Chinese microblogging service Sina Weibo and the largest Chinese B2C e-commerce website JingDong have shown the effectiveness of our proposed framework.

Revealing Cultural Ecosystem Services through Instagram Images : The Potential of Social Media Volunteered Geographic Information for Urban Green Infrastructure Planning and Governance

With the prevalence of smartphones, new ways of engaging citizens and stakeholders in urban planning and govern-ance are emerging. The technologies in smartphones allow citizens to act as sensors of their environment, producing and sharing rich spatial data useful for new types of collaborative governance set-ups. Data derived from Volunteered Geographic Information (VGI) can support accessible, transparent, democratic, inclusive, and locally-based governance situations of interest to planners, citizens, politicians, and scientists. However, there are still uncertainties about how to actually conduct this in practice. This study explores how social media VGI can be used to document spatial tendencies regarding citizens’ uses and perceptions of urban nature with relevance for urban green space governance. Via the hashtag #sharingcph, created by the City of Copenhagen in 2014, VGI data consisting of geo-referenced images were collected from Instagram, categorised according to their content and analysed according to their spatial distribution patterns. The results show specific spatial distributions of the images and main hotspots. Many possibilities and much potential of using VGI for generating, sharing, visualising and communicating knowledge about citizens’ spatial uses and preferences exist, but as a tool to support scientific and democratic interaction, VGI data is challenged by practical, technical and ethical concerns. More research is needed in order to better understand the usefulness and application of this rich data source to governance.

The role of networking and social media tools during job search: an information behaviour perspective.

The paper presents a critical analysis of the extant literature pertaining to the networking behaviours of young jobseekers in both offline and online environments. A framework derived from information behaviour theory is proposed as a basis for conducting further research in this area. Method. Relevant material for the review was sourced from key research domains such as library and information science, job search research, and organisational research. Analysis. Three key research themes emerged from the analysis of the literature: (1) social networks, and the use of informal channels of information during job search, (2) the role of networking behaviours in job search, and (3) the adoption of social media tools. Tom Wilson’s general model of information behaviour was also identified as a suitable framework to conduct further research. Results. Social networks have a crucial informational utility during the job search process. However, the processes whereby young jobseekers engage in networking behaviours, both offline and online, remain largely unexplored. Conclusion. Identification and analysis of the key research themes reveal opportunities to acquire further knowledge regarding the networking behaviours of young jobseekers. Wilson’s model can be used as a framework to provide a holistic understanding of the networking process, from an information behaviour perspective.

Asiakastyytyväisyyteen vaikuttavien tekijöiden tunnistaminen sosiaalisen median seurantapalvelun ja kriittisten tapausten tekniikan avulla

Tutkimuksen tavoitteena on muodostaa liikkeenjohdon päätöksentekoa tukeva toimintatapa, jonka avulla pystytään keräämään ja suodattamaan sosiaalisesta mediasta olennainen asiakastyytyväisyyden muodostumiseen vaikuttava informaatio. Tavoitteena on myös täsmentää sosiaalisen median viestien tarkastelutapaa ja tarjota liikkeenjohdolle käytännönläheinen ja vaihtoehtoinen tiedonkeruumenetelmä perinteisten asiakastyytyväisyyskyselyiden rinnalle. Tutkimuksen case-yrityksenä käytetään Fox International Channels Oy:tä, joka alkuvuodesta 2012 hankki SuomiTV:n ja lanseerasi tämän tilalle uuden FOX-kanavan. Sosiaalisen median viestit kerätään sosiaalisen median seurannan avulla ja kerättyä aineistoa tarkastellaan kriittisten tapausten tekniikan avulla.Tämän tutkimuksen perusteella voidaan todeta, että on olemassa valtava määrä käsittelemätöntä tietoa, jota keräämällä, suodattamalla ja analysoimalla voidaan kerätä tavoitteita tukevaa relevanttia informaatiota. Tutkimuksessa tulee ilmi, että viestit sisältävät paljon ironiaa, slangia, sarkasmia ja metaforia, minkä takia automaattinen hakusanoihin perustuva seuranta- ja analysointipalvelu ei riitä syvällisen ymmärryksen luomiseen. Yrityksen ulkopuolinen tieto ja sosiaalisen median viestit ovat puhtaimmillaan hyvin tärkeää ulkoista informaatiota yrityksille, mitä hyväksikäyttämällä voidaan luoda kilpailuetua pidemmällä aikavälillä.

Motivations behind clicking the share-button

The main objective of this study is to examine the motivations behind sharing information and other content in social media. The goal was also to research how social media has changed information sharing behavior online. The theoretical part of the study covers social media marketing, motivations and Rioux’s framework of Information-Acquiring–and-Sharing in Internet environments. Marketer’s abilities to influence information sharing is explained through the MOA-model. The empirical research was conducted by using deductive research methods to assess Rioux’s framework of IA&S behavior in social media. This study included interviews of 12 respondents. The data was collected and analyzed by using qualitative research methods. This study confirms Rioux’s findings. Everyday information needs motivate information acquiring behavior. The findings show that social and emotional needs for maintaining relationships and the need for participation are considered as the most important internal motivations of sharing information and other content on social media. External motivations include expectations of others, environmental norms, and opportunities to win money. Social media strengthens the motivation for sharing information by offering a platform for satisfying these needs. It has also increased information sharing online due to its ease of use.

Modelo de processo de interação do telespectador em programas da TV Cultura

From a conceptual and contextual review of the phenomenon of convergence between TV and internet, demonstrated by the increasing use of so-called social media as tools for audience participation in television programs, the article examines the incorporation of information from social media programs in TV Cultura, a public television station in the state of São Paulo in Brazil. The work tries to characterize a model of the interaction process, in order to describe how is the audience participation in three selected programs: Green Card, JC Debate and Roda Viva.

ADRSpanishTool: una herramienta para la detección de efectos adversos e indicaciones

Presentamos una herramienta basada en coocurrencias de fármaco-efecto para la detección de reacciones adversas e indicaciones en comentarios de usuarios procedentes de un foro médico en español. Además, se describe la construcción automática de la primera base de datos en español sobre indicaciones y efectos adversos de fármacos.

Análise bioética da utilização de imagens de pacientes em mídias sociais eletrônicas

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Ciências da Saúde, Programa de Pós-Graduação em Bioética, 2016.

News media coverage of policies surrounding the HPV vaccine before and after Texas Governor Rick Perry's executive order, February 2006-February 2008

Objective. In June 2006, the first vaccine for human papillomavirus (HPV) was approved by the FDA and shortly after approval, the Advisory Committee on Immunization Practices (ACIP) voted to recommend the HPV vaccine for young girls. As a result of ACIP recommendations, state legislators introduced bills to mandate the vaccine. Policies related to public health issues, such as vaccination mandates, are often influenced by news coverage of these issues. News media, particularly in times of controversies, reinforce specific messages and plays an essential role in framing issues for the public. The objective of this study is to examine the quality, content, and scope of policies for the HPV vaccine before and after Texas Governor Rick Perry issued an executive order mandating the vaccine for middle school girls.^ Methods. The Lexis-Nexis database was used to identify 335 articles on HPV vaccination mandate policies that were published in U.S. newspapers from February 1, 2006 to February 2, 2008. The coding instrument captured information about article type, main news story concern, general information about HPV, HPV vaccine mandate policies, arguments for and against HPV vaccination mandates, arguments for and against the HPV vaccine, and sources of information.^ Results. Most news articles (82.4%) occurred after Governor Rick Perry issued an executive order mandating the HPV vaccine. Most articles mentioned that HPV is sexually transmitted (90.7%) and linked HPV infection to cervical cancer (96.1%). Only 63.9% of the articles reported that the HPV vaccine protects against types of HPV that cause cervical cancer and 18.8% of the articles reported that the vaccine protects against genital warts. Only 18.2% of the news articles presented a balanced argument regarding mandatory HPV vaccinations, and only 39.4% of the news articles presented a balanced argument for the HPV vaccine.^ Conclusions. Our study revealed that news coverage regarding mandating the HPV vaccine and issues related to the vaccine itself is biased, unbalanced, and incomplete. Since the public pays a great deal of attention to health in the media, it is essential that news stories are balanced, complete, and accurate. In order to ensure that future vaccination mandates are not covered in the same way the HPV vaccination was, public health officials, health care providers and scientists should work effectively with the media to ensure that balanced information is provided.^

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.

EDUCATING THE PUBLIC THROUGH NEWS MEDIA: CASE STUDIES OF NEWS LITERACY IN THE NEW MEDIA LANDSCAPE

Two decades of unprecedented changes in the media landscape have increased the complexity of informing the public through news media. With significant changes to the way the news industry does business and the way news consumers access this information, a new set of skills is being proposed as essential for today’s news consumer. News literacy is the use of critical thinking skills to assess the reliability and source of the information that people consume on a daily basis, as well as fostering self-awareness of personal news consumption habits and how it can create audience bias. The purpose of this study was to examine how adults experience the news in their everyday lives and to describe the nature of the news literacy skills people employ in their daily news consumption. This study purposefully selected four adults who have completed high school, and who regularly consume news information across a number of platforms, both traditional and digital. Two of the participants, one man and one woman, were over 50 years old. One other male participant was in his 30’s and the final participant, a young woman, was in her 20’s. They all utilized both traditional and digital media on a regular basis and all had differing skill levels when using social media for information. Their news experiences were documented by in-depth interviews and the completion of seven daily news logs. In their daily logs the participants differentiated news information from other information available on-line but the interviews revealed a contradiction between their intentions and their news consumption practices. All four participants had trouble distinguishing between news and opinion pieces in the news information realm. In addition all but one seemed unaware of their personal bias and any possible effect it was having on their news consumption. Further research should explore the benefits of an adult-centered news literacy curriculum on news consumers similar to the participants, and should examine the development of audience bias and its relationship to the daily exposure people have to the torrent of information that is available to them on a daily basis.

News agencies, their constant reinvention as a strategy to face competition

News agencies compete for a foothold as providers of information and mass media. Covered by a technological class infrastructure, Associated Press, Reuters, Agence FrancePresse (AFP) and EFE are leaders of the global media system because they introduce revolutionary changes in their production routines, professional culture, journalistic genres and styles; also for its innovative product offerings and services. This article also focuses on the strategies of the agencies to get closer to their audiences, from the agreements established and the treatment of very specific themes. Some solutions that contribute to the future survival of these entities are also proposed.

Microblogging Temporal Summarization: Filtering Important Twitter Updates for Breaking News

While news stories are an important traditional medium to broadcast and consume news, microblogging has recently emerged as a place where people can dis- cuss, disseminate, collect or report information about news. However, the massive information in the microblogosphere makes it hard for readers to keep up with these real-time updates. This is especially a problem when it comes to breaking news, where people are more eager to know “what is happening”. Therefore, this dis- sertation is intended as an exploratory effort to investigate computational methods to augment human effort when monitoring the development of breaking news on a given topic from a microblog stream by extractively summarizing the updates in a timely manner. More specifically, given an interest in a topic, either entered as a query or presented as an initial news report, a microblog temporal summarization system is proposed to filter microblog posts from a stream with three primary concerns: topical relevance, novelty, and salience. Considering the relatively high arrival rate of microblog streams, a cascade framework consisting of three stages is proposed to progressively reduce quantity of posts. For each step in the cascade, this dissertation studies methods that improve over current baselines. In the relevance filtering stage, query and document expansion techniques are applied to mitigate sparsity and vocabulary mismatch issues. The use of word embedding as a basis for filtering is also explored, using unsupervised and supervised modeling to characterize lexical and semantic similarity. In the novelty filtering stage, several statistical ways of characterizing novelty are investigated and ensemble learning techniques are used to integrate results from these diverse techniques. These results are compared with a baseline clustering approach using both standard and delay-discounted measures. In the salience filtering stage, because of the real-time prediction requirement a method of learning verb phrase usage from past relevant news reports is used in conjunction with some standard measures for characterizing writing quality. Following a Cranfield-like evaluation paradigm, this dissertation includes a se- ries of experiments to evaluate the proposed methods for each step, and for the end- to-end system. New microblog novelty and salience judgments are created, building on existing relevance judgments from the TREC Microblog track. The results point to future research directions at the intersection of social media, computational jour- nalism, information retrieval, automatic summarization, and machine learning.

Information literacy skills of portuguese LIS students: some topics on evaluation of resources credibility

This paper focuses on the Portuguese results from an international survey on LIS students’ information literacy skills. The results’ analysis will be grounded on a literature review on the criteria application to evaluate information and determine the credibility by undergraduate students. The guidelines for the information evaluation, especially regarding credibility aspect, on three main information literacy frameworks will be presented. After an overall presentation of the main results, the analysis of the Portuguese survey results will focus on issues related to information evaluation skills, namely on criteria to assess information credibility and on difficulties to apply them.