A Non-Profit Guide to Social Media How to build a presence in the social networking world

Social media and networking platforms have changed the game. Web 2.0 has put the power of the Internet into the hands of the user. Businesses and organizations are no longer the only ones with something to say. This can be daunting for companies and brands, but it can also be brilliant, especially for Non-profits. Today, hundreds of millions of people across the globe are online sharing information with friends, family, co-workers, and complete strangers via various social networking platforms. These users share everything from photos and videos to advice and opinions, passing on the information that they deem important to their friends and followers. The social media world is an open platform for sharing unique, personal messages, but it is also an opportunity for organizations to extend their reach, further their causes, and build awareness among a growing population of potential proponents and future donors. The power is now in the hands of the user. But it is the organization’s job to get the users talking. This guidebook to social media provides non-profit organizations with an introduction to social media, information about the major players in the game today, what social media means for their organization and best practices and tips on how to become worthy of attention on the social networking stage. Everyone wants to be noticed and these guidelines will help non-profit organizations stand out from the crowd, provide timely and relevant information, and practice appropriate social networking etiquette. This guide will also touch on why college students present great potential to become proponents for non-profit organizations online and how they could be the key to creating the foundation for non-profit organizations’ future donor bases. But college students are not alone in using social networking platforms. Social media usage among older generations continues to grow exponentially, proving that social networking has gone mainstream. Non-profit organizations need to understand that social media and online efforts are not something that they can ignore. The majority of organizations’ current donors are already using social media platforms to share information with their online friends. This guide shows non-profits how to create an online presence on social media platforms that will increase their exposure and awareness of their causes. The best thing that a non-profit can do to increase support is to get people talking. This guide shows them how

Policy and prevention approaches for disordered and hazardous gaming and internet use: an international perspective

Problems related to high levels of gaming and Internet usage are increasingly recognized as a potential public health burden across the developed world. The aim of this review was to present an international perspective on prevention strategies for Internet gaming disorder and related health conditions (e.g., Internet addiction), as well as hazardous gaming and Internet use. A systematic review of quantitative research evidence was conducted, followed by a search of governmental reports, policy and position statements, and health guidelines in the last decade. The regional scope included the United States, United Kingdom, Australia, China, Germany, Japan, and South Korea. Prevention studies have mainly involved school-based programs to train healthier Internet use habits in adolescents. The efficacy of selective prevention is promising but warrants further empirical attention. On an international scale, the formal recognition of gaming or Internet use as a disorder or as having quantifiable harms at certain levels of usage has been foundational to developing structured prevention responses. The South Korean model, in particular, is an exemplar of a coordinated response to a public health threat, with extensive government initiatives and long-term strategic plans at all three levels of prevention (i.e., universal, selective, and indicated). Western regions, by comparison, are dominated by prevention approaches led by non-profit organizations and private enterprise. The future of prevention of gaming and Internet problems ultimately relies upon all stakeholders working collaboratively in the public interest, confronting the reality of the evidence base and developing practical, ethical, and sustainable countermeasures

What Drives Volunteers to Accept a Digital Platform That Supports NGO Projects?

Technology has become the driving force for both economic and social change. However, the recruitment of volunteers into the projects of non-profit-making organizations (NGO) does not usually make much use of information and communication technology (ICT). Organizations in this sector should incorporate and use digital platforms in order to attract the most well-prepared and motivated young volunteers. The main aim of this paper is to use an extended Technology Acceptance Model (TAM) to analyze the acceptance of a technological platform that provides a point of contact for non-profit-making organizations and potential volunteers. The TAM is used to find the impact that this new recruitment tool for volunteers can have on an ever-evolving industry. The TAM has been extended with the image and reputation and visual identity variables in order to measure the influence of these non-profit-making organizations on the establishment and implementation of a social network recruitment platform. The data analyzed are from a sample of potential volunteers from non-profit-making organizations in Spain. A structural equation approach using partial least squares was used to evaluate the acceptance model. The results provide an important contribution to the literature about communication in digital environments by non-profit-making organizations as well as strategies to improve their digital reputation

New Media Art/ New Funding Models

Investigates the current state of funding for new media artists, with an emphasis on the support structures for innovative creative work that utilizes advanced technologies as the main vehicle for artistic practice

Publication Bias in Laboratory Animal Research: A Survey on Magnitude, Drivers, Consequences and Potential Solutions

Contains fulltext : 109229.pdf (publisher's version ) (Open Access)CONTEXT: Publication bias jeopardizes evidence-based medicine, mainly through biased literature syntheses. Publication bias may also affect laboratory animal research, but evidence is scarce. OBJECTIVES: To assess the opinion of laboratory animal researchers on the magnitude, drivers, consequences and potential solutions for publication bias. And to explore the impact of size of the animals used, seniority of the respondent, working in a for-profit organization and type of research (fundamental, pre-clinical, or both) on those opinions. DESIGN: Internet-based survey. SETTING: All animal laboratories in The Netherlands. PARTICIPANTS: Laboratory animal researchers. MAIN OUTCOME MEASURE(S): Median (interquartile ranges) strengths of beliefs on 5 and 10-point scales (1: totally unimportant to 5 or 10: extremely important). RESULTS: Overall, 454 researchers participated. They considered publication bias a problem in animal research (7 (5 to 8)) and thought that about 50% (32-70) of animal experiments are published. Employees (n = 21) of for-profit organizations estimated that 10% (5 to 50) are published. Lack of statistical significance (4 (4 to 5)), technical problems (4 (3 to 4)), supervisors (4 (3 to 5)) and peer reviewers (4 (3 to 5)) were considered important reasons for non-publication (all on 5-point scales). Respondents thought that mandatory publication of study protocols and results, or the reasons why no results were obtained, may increase scientific progress but expected increased bureaucracy. These opinions did not depend on size of the animal used, seniority of the respondent or type of research. CONCLUSIONS: Non-publication of "negative" results appears to be prevalent in laboratory animal research. If statistical significance is indeed a main driver of publication, the collective literature on animal experimentation will be biased. This will impede the performance of valid literature syntheses. Effective, yet efficient systems should be explored to counteract selective reporting of laboratory animal research

Re-Imagining Journalism: Local News for a Networked World

Details strategies for realizing healthy local information ecologies through for-profit and nonprofit media; higher education and community institutions; emphasis on relevance, research, and revenues; and government support. Includes case summaries

Non-business e-commerce in Malaysia: An investigation of key adoption

Problem statement: Non-business EC is a relatively new research niche in the general e-commerce stream. Application of e-commerce by profit oriented organization already become bread and butter but still limited applied in non-business sectors such as academic institutions (as in the present study), non-profit organizations, religious organizations and government agencies. Nowadays e-commerce becomes crucially essential in reducing their expenses and improving their operations.Therefore, application of this new innovation should enhance to no non-business sectors to be livelier.Understanding the key factors of facilitating and adopting the e-commerce in non-business are still need to enrich in particularly within Malaysian context. A field survey was conducted to determine key factors that facilitate the adoption of non-business EC in Malaysian Universities. Approach: One main focus of IT implementation research has been to determine why people accept or reject new technology. The current research will explore why Non-business institutions will accept or reject e- commerce. Since e-commerce adoption decision is a strategic one, a comprehensive list of potential facilitators and non-facilitators for the strategic use of information technology was derived from past research. Thus factors used as the basis for collecting data from 65 schools, centers and units from 5 public universities in Kota Kinabalu and Kuala Lumpur. These data were factor-analyzed to determine the key underlying dimensions of facilitators. On the basis of the resulting 5 dimensions namely, relative advantage, network orientation, information efficiency, innovativeness and competitiveness, regression analysis was done to determine the impact of the 5 dimensions on adoption. Results: They suggest that relative advantage, network orientation and information efficiency are the most important facilitators to the used of e-commerce in non-business sectors. Inhibitors were not estimated eventually, as there were no non-users among the respondents. Conclusion: The results implies the non-business sectors should look into advantages, network orientation and information efficiency as a strategic based for implementing e-commerce in more effective manner to achieve their goals

Review Spam Detection Using Machine Learning Techniques

Nowadays with the increasing popularity of internet, online marketing is going to become more and more popular. This is because, a lot of products and services are easily available online. Hence, reviews about these all products and services are very important for customers as well as organizations. Unfortunately, driven by the will for profit or promotion, fraudsters used to produce fake reviews. These fake reviews written by fraudsters prevent customers and organizations reaching actual conclusions about the products. Hence, fake reviews or review spam must be detected and eliminated so as to prevent deceptive potential customers. In our work, supervised and semi-supervised learning technique have been applied to detect review spam. The most apt data sets in the research area of review spam detection has been used in proposed work. For supervised learning, we try to obtain some feature sets from different automated approaches such as LIWC, POS Tagging, N-gram etc., that can best distinguish the spam and non-spam reviews. Along with these features sentiment analysis, data mining and opinion mining technique have also been applied. For semi-supervised learning, PU-learning algorithm is being used along with six different classifiers (Decision Tree, Naive Bayes, Support Vector Machine, k-Nearest Neighbor, Random Forest, Logistic Regression) to detect review spam from the available data set. Finally, a comparison of proposed technique with some existing review spam detection techniques has been done