787 resultados para Digital social media
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In many e-commerce Web sites, product recommendation is essential to improve user experience and boost sales. Most existing product recommender systems rely on historical transaction records or Web-site-browsing history of consumers in order to accurately predict online users’ preferences for product recommendation. As such, they are constrained by limited information available on specific e-commerce Web sites. With the prolific use of social media platforms, it now becomes possible to extract product demographics from online product reviews and social networks built from microblogs. Moreover, users’ public profiles available on social media often reveal their demographic attributes such as age, gender, and education. In this paper, we propose to leverage the demographic information of both products and users extracted from social media for product recommendation. In specific, we frame recommendation as a learning to rank problem which takes as input the features derived from both product and user demographics. An ensemble method based on the gradient-boosting regression trees is extended to make it suitable for our recommendation task. We have conducted extensive experiments to obtain both quantitative and qualitative evaluation results. Moreover, we have also conducted a user study to gauge the performance of our proposed recommender system in a real-world deployment. All the results show that our system is more effective in generating recommendation results better matching users’ preferences than the competitive baselines.
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he push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organisations towards energy development projects. Design/methodology/approach This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised, and illustrated using a sample of tweets containing the term ‘bioenergy’ Findings Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable Purpose The push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organisations towards energy development projects. Design/methodology/approach This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised, and illustrated using a sample of tweets containing the term ‘bioenergy’ Findings Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results. Research limitations/implications Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector. Originality/value Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.
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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.
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One of the main challenges of emergency management lies in communicating risks to the public. On some occasions, risk communicators might seek to increase awareness over emerging risks, while on others the aim might be to avoid escalation of public reactions. Social media accounts offer an opportunity to rapidly distribute critical information and in doing so to mitigate the impact of emergencies by influencing public reactions. This article draws on theories of risk and emergency communication in order to consider the impact of Twitter as a tool for communicating risks to the public. We analyse 10,020 Twitter messages posted by the official accounts of UK local government authorities (councils) in the context of two major emergencies: the heavy snow of December 2010 and the riots of August 2011. Twitter was used in a variety of ways to communicate and manage associated risks including messages to provide official updates, encourage protective behaviour, increase awareness and guide public attention to mitigating actions. We discuss the importance of social media as means of increasing confidence in emergency management institutions.
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In the new social media context, it is gradually more common to say that each party can itself be considered a media content provider, firms included (through their brand pages). This tendency is reflected in a rising professional field called “content marketing”. This study incorporates the perspective of small and medium-sized enterprises (SMEs) into the scope of social media (SM) as a marketing communications and media content distribution system. In an exploratory content analysis of 20 official SM brand pages with 1281 analyzed posts the authors study how SMEs respond to the advent of a new paradigm of marketing communications with special attention to their usage of media-specific contents. SM impels companies to eventually rethink the traditional one-way communication flow of their marketing messages and to incorporate a new, two-way communication into their marketing strategy, where (their engaged and involved) users can create, modify, share and discuss content related to the firm’s activity. This study’s preliminary results show that diffusing content generally acts for SMEs as a facilitator to involve fans by offering a thematized space for them to manifest themselves in company-related topics. Therefore, content adds to the firms’ possibilities of brand positioning by offering a reflection of fans’ company- and contentrelated behavior, which is a supplementary source of information.
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A márkatulajdonosok számára elsődleges fontosságú, hogy feltérképezzék saját márkaközösségüket, ezáltal is elősegítve a közösségi fókuszú kommunikációs tevékenységüket. Különösen igaz ez a jellemzően kis- és középvállalati formában működő vendéglátóhelyek számára, ahol a közösségi média sokszor az egyetlen rendelkezésre álló marketingkommunikációs eszköz. Empirikus kutatásunkban fogyasztói narratívákat (n=151) elemzünk a tartalomelemzés módszertanával. A válaszadókat arra kértük, hogy írjanak kedvenc vendéglátóhelyükkel való kapcsolatukról az online térben. Elemzésünkben arra keressük a választ, hogy a márkaközösségek tagjai milyen belső indíttatásból kerültek kapcsolatba kedvenc vendéglátóhelyeikkel a közösségi platformokon. Az elsősorban fogyasztási élményekhez kötött kapcsolat online közösségi térbe való kiterjesztésére olyan belső motivációkat tártunk fel, mint a pragmatikusabb információközpontú indíttatások (pl. kizárólagos információk, naprakészség, vállalati ajánlatok, közösségimédia-specifikus tartalmakhoz való hozzáférés igénye), az érzelmi kötődés kifejezése (pl. nosztalgia, ismerősöknek való ajánlás, személyes érintettség), a társas befolyás (oldalak kedvelése mint kommunikációs tartalom, konformitás, önkifejezés), valamint a vállalati alapképességeken túlmutató egyéb tematikus kapcsolódások. ____ It is of primary importance for brand owners to map their own brand community, in order to stimulate their social-focused communication activity. This is especially true for typically small and medium-sized catering enterprises, where in most cases, social media is the only available marketing communications tool. In our empirical research, we analyze consumer narratives (n=151) with the methodology of content analysis. We asked the respondents to write about their relationship with their most preferred catering establishments in the online social sphere. In our research, we search for the inner intention by which members of brand communities got connected with their most preferred catering establishments on social platforms. We revealed such inner motivations for users extending a primarily experience (an consumption) based relationship to the online social sphere like rather pragmatic, information-focused intentions (e.g. exclusive information, timeliness, company offers, access claim for social media -specific contents), the expression of emotional binding (e.g. nostalgia, reference for acquaintances, personal involvement), social influence (the like as communication content, conformity, self-expression), and other thematic linkages beyond core company competences.
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A vendéglátóipari egységek kommunikációjában fontos szerepe van a közösségi médiában való jelenlétnek. Hazánkban a leggyakrabban használt felület a Facebook, amely sok ilyen vállalkozás esetében kiemelt fontosságú, vagy akár az egyetlen reálisan elérhető marketingkommunikációs felület. Kutatásunkban azt vizsgáljuk, hogy a felhasználók hogyan érzékelik a feléjük továbbított üzleti célú információkat a közösségi felületen, illetve hogy a fogyasztókra milyen mértékű aktivitás jellemző kedvenc vendéglátóipari egységük oldalán. Ennek céljából szubjektív fogyasztói narratívákat (n=151) elemzünk a kvalitatív tartalomelemzés módszertanával. A válaszadókat arra kértük, hogy írjanak kedvenc vendéglátóhelyükkel való kapcsolatukról az online térben. A "belájkolt" vendéglátóipari egységek felületeinek fogyasztók által észlelt aktivitása segítheti a vállalkozásokat abban, hogy alaptevékenységük elemeinek kommunikálásával, vagy akár ettől teljesen eltérő közösségi stratégiát használva pozicionálják márkájukat. A márkák tudatos tartalommenedzselése hozzájárulhat továbbá a felhasználók virtuális térben való hatékonyabb eléréséhez és bevonásához. ____ Presence in social media is an important element in the communication of catering establishments. The most frequently used platform in Hungary – that is extraordinarily important, or even the only reasonably accessible marketing communications platform for many catering companies – is Facebook. In our research, we analyse how users perceive the business-purposed information forwarded to them on the social media platform, and how intensive are the consumers’ activities on their most preferred catering establishment's site. For this purpose we analyse subjective consumer narratives (N=151) with the methodology of qualitative content analysis. We asked the respondents to write about the relationship with their most preferred catering establishment in the online sphere. Perceived activity of the "liked" catering establishment's platform could help enterprises to position themselves by communicating their core activities, or by using a totally different social strategy. Moreover, conscious content management of brands could contribute to reach and to engage users in the virtual sphere more efficiently.
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The social media classification problems draw more and more attention in the past few years. With the rapid development of Internet and the popularity of computers, there is astronomical amount of information in the social network (social media platforms). The datasets are generally large scale and are often corrupted by noise. The presence of noise in training set has strong impact on the performance of supervised learning (classification) techniques. A budget-driven One-class SVM approach is presented in this thesis that is suitable for large scale social media data classification. Our approach is based on an existing online One-class SVM learning algorithm, referred as STOCS (Self-Tuning One-Class SVM) algorithm. To justify our choice, we first analyze the noise-resilient ability of STOCS using synthetic data. The experiments suggest that STOCS is more robust against label noise than several other existing approaches. Next, to handle big data classification problem for social media data, we introduce several budget driven features, which allow the algorithm to be trained within limited time and under limited memory requirement. Besides, the resulting algorithm can be easily adapted to changes in dynamic data with minimal computational cost. Compared with two state-of-the-art approaches, Lib-Linear and kNN, our approach is shown to be competitive with lower requirements of memory and time.
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Postprint
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Acknowledgement: The research presented in this paper was conducted as part of the EU FP7 research project PACT (http://www.projectpact.eu), grant agreement number 285635.
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“Governments of the Industrial World, you weary giants of flesh and steel, I come from Cyberspace, the new home of Mind. On behalf of the future, I ask you of the past to leave us alone. You are not welcome among us. You have no sovereignty where we gather (…)” (Barlow 1996). Barlow’s declaration of independence of February 8 1996 was an expression of the libertarian approaches that have run through the Internet since its inception, and is the root of the misapprehension that the internet is somehow unregulated by state sovereignty. But why was it published that day? What happened?
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During the last twenty years (1995-2015), the world of commerce has expanded beyond the traditional brick-and-mortar high street to a global shop front accessible to billions of users via the Worldwide Web (WWW). Consumers are now using the web to immerse themselves in virtual shop fronts, using Social Media (SM) to communicate and share product ideas with friends and family. Retail organisations recognise the need to develop and adapt their strategies to respond to the increasing use of SM. New goals must be set in order to identify how companies will integrate social media into current practices. This research aims to suggest an advisable and comprehensive SM strategy for companies operating in the global retail sector, based on an exploratory analysis of three multi-national retail organisations' existing SM strategies. This will be assessed in conjunction with a broader investigation into social media in the retail industry. From this, a strategy will be devised to improve internal and external communication as well as knowledge management through the use of social media. Findings suggest that the use of SM within the retail industry has dramatically improved collaboration and communication processes for organisations as they are now able to converse better with stakeholders and the tools are relatively simple to integrate and implement as they benefit one another.
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The Enred@te initiative, created by Red Cross, the Vodafone Foundation and the TECSOS Foundation, emerged as an evolution of a previous project that developed and piloted a video-communication solution with older adults, using a system installed in their own televisions. Following the success of this first initiative, it was decided to advance toward a more flexible, robust, easy-to-use and high-quality solution, producing a social network accessible through tablets. Older adults can use the network to video-communicate with other older adults and stay informed on various topics of interest. Additionally, a new innovation incorporates the participation of virtual volunteers, a part of the network that promotes its use in an inclusive and participative manner. This solution was also piloted in 2014 with positive results and work to turn it into a service that can reach older adults through the Red Cross is currently on-going.