The Reliability of Tripadvisor Filter Search. A Case Study @alevavilla Hotel Bali

The ethnography research for hotel proposition delivered via social media is scarce. Research comparing the reliability of the Tripadvisor filter search to look for a hotel-related to the preference of the consumers is scarce. This research selects a family hotel with a good rating in Bali, further exploratory factor analysis conducted through the dataset captured from the Facebook @alevavilla. Hotel Aleva Villa is the hotel that comes up from the filter search and ranks five in Tripadvisor. The findings show that @alevavilla proposition dominated with the romantic and also a couple of holiday experience, which is different from the family hotel filter search in the Tripadvisor. The analysis is not only focused on the Tripadvisor and Facebook but also the Twitter and the Instagram post @alevavilla. The multichannel social media @alevavilla shows that there is a lack of a family trip proposition promoted compare with a romantic visit on social media. Finally, there are two future studies from this research; the first one is to conduct reliability research for the Tripadvisor filter search consistency with the exploratory factor analysis. The second, further multichannel research analysis via social media should further be conducted. Keywords: @alevavilla, Family Hotel, Unstructured Dataset, Filter Search, Exploratory Factor Analysis DOI: 10.7176/EJBM/12-15-14 Publication date:May 31st 202

Uses and Gratifications : Twitter Tetap Menjadi Primadona

This research discusses the social media Twitter, which is the first platform to search for the latest information or news. This is backed up by the large amount of news or information circulating on online news portals, often sourced from the social media Twitter. The purpose of this literature review is to see how Twitter was chosen by social media users as a place to fulfill their information needs. The scope of this research is in the mass media communication circle using Uses & Gratifications Theory (UGT) to explain why users choose their media to complement their needs. This study uses an in-depth interview exploratory description method. Data collection from journals or previous research is carried out based on the context and cases where the data and information are needed in this study. In addition, this study uses an exploratory description method of in-depth interviews with four respondents who use social media Twitter. Questions are given in a structured manner. The result of this research is that there is a new motivation for people to use Twitter. &nbsp

Uses and Gratifications : Twitter Tetap Menjadi Primadona

This research discusses the social media Twitter, which is the first platform to search for the latest information or news. This is backed up by the large amount of news or information circulating on online news portals, often sourced from the social media Twitter. The purpose of this literature review is to see how Twitter was chosen by social media users as a place to fulfill their information needs. The scope of this research is in the mass media communication circle using Uses & Gratifications Theory (UGT) to explain why users choose their media to complement their needs. This study uses an in-depth interview exploratory description method. Data collection from journals or previous research is carried out based on the context and cases where the data and information are needed in this study. In addition, this study uses an exploratory description method of in-depth interviews with four respondents who use social media Twitter. Questions are given in a structured manner. The result of this research is that there is a new motivation for people to use Twitter. &nbsp

Health Misinformation on Social Media: A Literature Review

Health misinformation on social media is considered as a major public concern. This study evaluates the current state of this issue by conducting a systematic literature review. Based on a stepwise literature search and selection procedure, we have identified 21 articles relevant to the topic of health misinformation on social media. We find that health misinformation on social media is a new and emerging topic in multiple disciplines. One very important insight of this review is that most studies are theoretical and exploratory in nature. There is only a small number of studies have solid theoretical foundations. Finally, we discuss the implication of the literature review for future research

How Web Search and Social Media Affect Google AdSense Performance

The purpose of this empirical and exploratory research is to investigate whether social capital through social media can increase online revenue through Google AdSense for conventional websites. Due to the fact that many Americans today are having problems with work and income, but still have time to spend on Facebook or other social media, it may be the right moment in internet marketing history to utilize a social medium they are already wedded to as a platform to make some revenue. The aim is to see if Facebook friends, on a daily basis, can actually be a good way to increase Google AdSense Revenue rather than relying on search engines to bring customers or clickers to your website without asking your social capital (Facebook friends) to intentionally click on the AdSense advertisement. It was discovered that AdSense clicks, web content searches, and website visits were significant in driving AdSense revenue through Facebook to any website. AdSense clicks and click-through-ratios (CTR) where significant for low content search value websites without revenue increase, while AdSense clicks and AdSense page views were significant for high content search value websites when Facebook was utilized to increase AdSense revenue

TweetBubble: A Twitter Extension Stimulates Exploratory Browsing

We extend the Twitter interface to stimulate exploratory browsing of social media and develop a method to establish its efficacy. In exploratory browsing, users seek and traverse diverse and novel information as they investigate a conceptual space. Social media has become a predominant source of information. Social media is characterized by rapidly evolving content and relationships. We need interface mechanisms to effectively and iteratively browse, search, and filter, i.e., explore vast social media networks. We develop the TweetBubble browser extension, extending Twitter to enable expansion of social media associations @usernames and #hashtags in-context, with-out overwriting initial content. We build on a prior metadata type system, developing new presentation semantics, which enable a look and feel consistent with Twitter. We identify exploratory browsing as a creative ideation process. We use prior ideation metrics as a basis for new ideation metrics of exploratory browsing. We conducted a study, with data from 54 participants, amidst the 2014 Academy Awards. Quantitative and qualitative findings validate the technique of in-context exploratory browsing interfaces for social media. Their consistency supports the validity of ideation metrics of exploratory browsing as an evaluation methodology for interactive systems designed to promote creative engagement. This research impacts the design and evaluation of interfaces that stimulate intrapersonal creativity, and thereby mutual understanding, by supporting exploratory browsing of connected perspectives in a shared, structured, conceptual space

Social media posts and online search behaviour as early-warning system for MRSA outbreaks

Background: Despite many preventive measures, outbreaks with multi-drug resistant micro-organisms (MDROs) still occur. Moreover, current alert systems from healthcare organizations have shortcomings due to delayed or incomplete notifications, which may amplify the spread of MDROs by introducing infected patients into a new healthcare setting and institutions. Additional sources of information about upcoming and current outbreaks, may help to prevent further spread of MDROs. The study objective was to evaluate whether methicillin-resistant Staphylococcus aureus (MRSA) outbreaks could be detected via social media posts or online search behaviour; if so, this might allow earlier detection than the official notifications by healthcare organizations. Methods: We conducted an exploratory study in which we compared information about MRSA outbreaks in the Netherlands derived from two online sources, Coosto for Social Media, and Google Trends for search behaviour, to the mandatory Dutch outbreak notification system (SO-ZI/AMR). The latter provides information on MDRO outbreaks including the date of the outbreak, micro-organism involved, the region/location, and the type of health care organization. Results: During the research period of 15 months (455 days), 49 notifications of outbreaks were recorded in SO-ZI/ AMR. For Coosto, the number of unique potential outbreaks was 37 and for Google Trends 24. The use of social media and online search behaviour missed many of the hospital outbreaks that were reported to SO-ZI/AMR, but detected additional outbreaks in long-term care facilities. Conclusions: Despite several limitations, using information from social media and online search behaviour allows rapid identification of potential MRSA outbreaks, especially in healthcare settings with a low notification compliance. When combined in an automated system with real-time updates, this approach might increase early discovery and subsequent implementation of preventive measures.EPI-Net COMBACTE-MAGNET project 115737Unión Europea FP7/2007–201

Let’s dance the news! How the news media are adapting to the logic of TikTok

The influence of TikTok has reached the news media, which has adapted to the logic of the platform, in a context marked by the incidental consumption of news, virality and the intermediation of technology in access to information. The popularity of this social network invites news outlets to address a young audience on a platform characterized by visual and short content and dynamics defined by algorithmic recommendations, trending hashtags and challenges. Based on an exploratory search of news media and programmes on TikTok from around the world, we selected 234 accounts and conducted a content analysis of the 19 news media and programmes identified with a verified profile and general thematic scope. The results point to a progressive incorporation of the media since 2019, with the purpose of informing, positioning their brand and adapting to the logic of TikTok in a new approach to journalism for younger generations.This work was supported by the Ministry of Science, Innovation and Universities (Government of Spain) and the ERDF structural fund within the research project “Digital Native Media in Spain: Storytelling Formats and Mobile Strategy” (RTI2018–093346-B-C33).S

A framework for interrogating social media images to reveal an emergent archive of war

The visual image has long been central to how war is seen, contested and legitimised, remembered and forgotten. Archives are pivotal to these ends as is their ownership and access, from state and other official repositories through to the countless photographs scattered and hidden from a collective understanding of what war looks like in individual collections and dusty attics. With the advent and rapid development of social media, however, the amateur and the professional, the illicit and the sanctioned, the personal and the official, and the past and the present, all seem to inhabit the same connected and chaotic space.However, to even begin to render intelligible the complexity, scale and volume of what war looks like in social media archives is a considerable task, given the limitations of any traditional human-based method of collection and analysis. We thus propose the production of a series of ‘snapshots’, using computer-aided extraction and identification techniques to try to offer an experimental way in to conceiving a new imaginary of war. We were particularly interested in testing to see if twentieth century wars, obviously initially captured via pre-digital means, had become more ‘settled’ over time in terms of their remediated presence today through their visual representations and connections on social media, compared with wars fought in digital media ecologies (i.e. those fought and initially represented amidst the volume and pervasiveness of social media images).To this end, we developed a framework for automatically extracting and analysing war images that appear in social media, using both the features of the images themselves, and the text and metadata associated with each image. The framework utilises a workflow comprising four core stages: (1) information retrieval, (2) data pre-processing, (3) feature extraction, and (4) machine learning. Our corpus was drawn from the social media platforms Facebook and Flickr