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1.
Emily Theophilou;Davinia Hernández-Leo;Vicenç Gómez; 《Journal of Computer Assisted Learning》2024,40(6):2544-2557
Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this study proceeds to explore gender disparities in an innovative educational environment that sees the incorporation of an educational component within a simulated social media environment. 相似文献
2.
This work investigates social curating activities on the website Pinterest and relates them to the librarian's traditional role of curating information. Pinterest is a social curation site that combines features of gathering, creating, and sharing with the information management characteristics of successful data curation. Libraries have begun to think about pushing services into social networking sites and adding social networking features to their own services. This study evaluates the webpages of Association of Research Libraries member libraries for presence and use of Pinterest, and suggests ways research and academic libraries can use Pinterest to support their patrons. 相似文献
3.
Academic librarians have shared their experiences with tablet computers, but few examine how librarians use tablets in their instruction design. While the education literature provides technology integration models, the nature of library instruction requires adapting these models to the library classroom. After reviewing literature related to tablets in library instruction and a number of technology integration frameworks, this article demonstrates an application of the Substitution, Augmentation, Modification, Redefinition framework to analyze observations of an iPad-equipped classroom at a university library. Demonstrating this use of a framework provides an approach to technology integration and continues the discussion about tablets’ potential to promote innovative pedagogy. 相似文献
4.
The Internet provides a unique opportunity for scientists to be in direct contact with the public in order to promote citizens' scientific literacy. Recently, Internet users have started to spend most of their online time on social networking sites (SNS). Knowledge of how these SNSs work as an arena for interaction, as well as for the development of scientific literacy, is important to guide scientists' activities online, and to be able to understand how people develop knowledge of science. This was evaluated by scrutinizing the Facebook page of the Monterey Bay Aquarium Research Institute and the consequences for users' ocean literacy. We investigated which practices could increase the number of users reached by a Facebook story. We also found that Facebook pages do not offer the appropriate social context to foster participation since it has only a few of the features of an arena where such practices could develop. 相似文献
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大数据时代下重大突发社会安全事件的舆情主要通过媒体快速传播,但现有研究大都没有考虑新闻媒体这一特殊群体以及在某一类特定事件中新闻媒体的影响力。为了研究上述问题,提出一种综合用户间的网络结构与行为关系来评价影响力的方法,并以新疆暴恐和巴黎暴恐事件为例,得出在Twitter平台中各国新闻媒体在此类事件中的国际影响力。该评价方法可以更好地得出各新闻媒体在事件层面上的影响力。通过使用该评价方法对新疆暴恐事件和巴黎暴恐事件中新闻媒体影响力进行计算,实验结果显示,各国新闻媒体在新疆暴恐事件和巴黎暴恐事件中的影响力存在差异,说明这两起同类型事件的影响范围不同,同时也从侧面反映了各国政治立场的差异。 相似文献
6.
People are easily duped by fake news and start to share it on their networks. With high frequency, fake news causes panic and forces people to engage in unethical behavior such as strikes, roadblocks, and similar actions. Thus, counterfeit news detection is highly needed to secure people from misinformation on social platforms. Filtering fake news manually from social media platforms is nearly impossible, as such an act raises security and privacy concerns for users. As a result, it is critical to assess the quality of news early on and prevent it from spreading. In this article, we propose an automated model to identify fake news at an early stage. Machine learning-based models such as Random Forest, Logistic Regression, Naïve Bayes, and K-Nearest Neighbor are used as baseline models, implemented with the features extracted using countvectorizer and tf–idf. The baseline and other existing model outcomes are compared with the proposed deep learning-based Long–Short Term Memory (LSTM) network. Experimental results show that different settings achieved an accuracy of 99.82% and outperformed the baseline and existing models. 相似文献
7.
Xiangyu Hu Lemin Li Tingmin Wu Xiaoxiang Ai Jie Gu Sheng Wen 《Concurrency and Computation》2019,31(21)
Studying the influence of negative words that spread during election period is an important work in social media. Most of current methods rely on sentiment analysis of tweets to determine the users' preference. However, sentiment analysis can only makes use of emotional words (ie, adverbs and adjectives), which only take 30 percent of the context in the Internet. According to our empirical analysis based on real datasets, the bias on word selection largely reduced the accuracy of the context in the Internet. In order to address this critical problem, we propose a new method that makes use of nouns with emotional context to determine the election preference of each user. By collecting the frequencies of words in context, we weigh the impact of each supportive/objective noun to strengthen the determination of users' preference. Final results will further be integrated to examine the effectiveness and efficiency of our proposed method. To indicate this idea, we collect and adopt real datasets (UK Prime Minister 2017 and US President Campaign 2016) in the experiments. All the experiment results suggested that our integrated method largely outperformed previous prediction methods. In particular, the prediction results were quite similar to the final results of the UK and US election. Meanwhile, for UK election, we found that the daily approval rate is closely related to the event happened everyday. 相似文献
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ABSTRACT Incorporating digital gaming into education is an increasingly popular topic in academia. Educators’ views of digital gaming (e.g., computer, video, and online games) have shifted from categorizing these games as an entertaining, yet pedagogically void activity to a promising medium that engages students in the learning process. With over 70% of college students enthusiastically playing digital games, educators are tapping into digital gaming as an effective means to teach millennials problem solving and communication skills. This article investigates gamer characteristics, motivational and engaging aspects of digital games, and the parallels between gaming and the information retrieval process. The authors build on this information to present approaches to incorporate digital gaming techniques into the library classroom since it is not feasible for all libraries to create instructional digital games. 相似文献
9.
Mike Ananny 《Journal of Computer-Mediated Communication》2014,19(4):938-956
This paper analyzes how mainstream, online news organizations understand press autonomy in their relationships to audiences. I situate the press in terms of neo‐institutional sociology, seeing its autonomy as a distributed, field‐level phenomenon involving “boundary work” among distributed actors. I then trace press‐audience relations through two historical examples (letters to the editor and ombudsmen), showing how the press has historically both separated itself from and relied upon audiences. Examining eight news organizations' social media policies, I analyze the “inside‐out” and “outside‐in” forces through which the press distinguishes itself from audiences, concluding with a discussion of how such guidelines structure the types of control that news organizations have, or might have, as they use social network sites in their news work. 相似文献
10.
Crowd‐funded journalism is a novel business model in which journalists rely on micropayments from ordinary people to finance their reporting. Based on analyses of the database of Spot.us, a pioneering crowd‐funded journalism website, we examine the impact of crowd‐funded journalism on the news produced. We apply a uses and gratifications approach to study consumers' choices when they donate to crowd‐funded journalism and find that consumers are more likely to donate to stories that provide them with practical guidance for daily living (e.g., stories about public health or local city infrastructure), as opposed to stories from which they gain a general awareness of the world (e.g., cultural diversity, or government and politics). We discuss the implications for the future of news. 相似文献
11.
This paper investigates gratifications of reading citizen journalism news by applying the research model drawn from the uses and gratifications approach, and the cognitive–affective–conative framework. Based on the uses and gratifications literature and the cognitive–affective–conative framework, the effects of gratifications on attitude (i.e., affective) and intention (i.e., conative) are examined. The indirect effects of gratifications on intention to read news (i.e., conation) through the interpretation of affection that users experienced are also examined. Using a survey conducted across nearly 300 users, the results show that all gratifications, except for escape, have direct effects on attitude. However, none of the gratifications has a direct effect on intention. The proposed model shows that attitude mediates the path between the effects of all gratifications and intention. The model explains a high percentage of variance with gratifications explaining about 46% of the variance in attitude. However, their effects on intention are limited when attitude is controlled. 相似文献
12.
Brandi Porter 《国际互联网参考资料服务季刊》2013,18(3-4):233-244
This article will discuss Ferrum College's approach toward developing and delivering varied one-shot information literacy instruction sessions based on knowledge of millennial students’ information retrieval practices and on literature regarding threshold concepts and teaching and learning theories. Identifying threshold information literacy concepts helped the library to develop session specific learning outcomes to meet the needs of their students. Moreover, knowledge of learning theory and millennial learning preferences aided in developing lesson plans and activities that encouraged student mastery of these concepts. Ultimately, this approach contributed to a more comprehensive information literacy program that could be scaffolded over multiple instruction visits. 相似文献
13.
Elizabeth M. Johns 《国际互联网参考资料服务季刊》2013,18(3-4):255-269
Students need varied and engaging content to learn more effectively, but librarians struggle to bring interesting and engaging techniques and tools into the library classroom. Incorporation of multimedia and graphics will not only engage students, but help them better grasp various concepts and skills. As educators learn more about how people learn, we know that traditional slideshows and database walkthroughs are not the most effective tactics. This article presents ideas for librarians to use multimedia and graphics to engage students and learn research skills in the library classroom. 相似文献
14.
现有的大多数虚假新闻检测方法将视觉和文本特征串联拼接,导致模态信息冗余并且忽略了不同模态信息之间的相关性。为了解决上述问题,提出一种基于矩阵分解双线性池化的多模态融合虚假新闻检测算法。首先,该算法将多模态特征提取器捕捉的文本和视觉特征利用矩阵分解双线性池化方法进行有效融合,然后与虚假新闻检测器合作鉴别虚假新闻;此外,在训练阶段加入了事件分类器来预测事件标签并去除事件相关的依赖。在Twitter和微博两个多模态谣言数据集上进行了对比实验,证明了该算法的有效性。实验结果表明提出的模型能够有效地融合多模态数据,缩小模态间的异质性差异,从而提高虚假新闻检测的准确性。 相似文献
15.
近年来社交媒体逐渐成为人们获取新闻信息的主要渠道,但其在给人们带来方便的同时也促进了虚假新闻的传播.在社交媒体的富媒体化趋势下,虚假新闻逐渐由单一的文本形式向多模态形式转变,因此多模态虚假新闻检测正在受到越来越多的关注.现有的多模态虚假新闻检测方法大多依赖于和数据集高度相关的表现层面特征,对新闻的语义层面特征建模不足,难以理解文本和视觉实体的深层语义,在新数据上的泛化能力受限.提出了一种语义增强的多模态虚假新闻检测方法,通过利用预训练语言模型中隐含的事实知识以及显式的视觉实体提取,更好地理解多模态新闻的深层语义.提取不同语义层次的视觉特征,在此基础上采用文本引导的注意力机制建模图文之间的语义交互,从而更好地融合多模态异构特征.在基于微博新闻的真实数据集上的实验结果表明:该方法能够有效提高多模态虚假新闻检测的性能. 相似文献
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17.
Stacy Miller Philip Menard David Bourrie Scott Sittig 《Information Systems Journal》2024,34(3):642-679
Political polarisation has become an increasingly alarming issue in society, exacerbated by the widespread use of social media and the development of filter bubbles among social media users. This environment has left users susceptible to disinformation, especially those with whom a user is politically aligned. In this research, we integrate truth bias, elaboration likelihood model and new media literacy into a model for explaining social media engagement (with both disinformation and factual information) and analysing how political polarisation (operationalised as political alignment between users) influences perceptions and behaviours. Using an experimental design, we analyse the model separately for posts containing disinformation and factual information, highlighting key differences. Political alignment positively moderates truth bias's effect on engagement with disinformation. For both disinformation and factual information, political alignment moderates the effect of generalised communicative suspicion (GCS) on truth bias, such that GCS's effect on truth bias flips from negative to positive as political alignment increases. Issue involvement and political alignment appear to be the primary drivers of disinformation engagement, with critical consuming media literacy failing to mitigate engagement. Our findings contribute to the understanding of persuasion, conviction, amplification, polarisation and aversion related to fake news on social media. 相似文献
18.
近年来社交媒体越来越流行,可以从中获得大量丰富多彩的信息的同时,也带来了严重的"信息过载"问题.推荐系统作为缓解信息过载最有效的方法之一,在社交媒体中的作用日趋重要.区别于传统的推荐方法,社交媒体中包含大量的用户产生内容,因此在社交媒体中,通过结合传统的个性化的推荐方法,集成各类新的数据、元数据和清晰的用户关系,产生了各种新的推荐技术.总结了社交推荐系统中的几个关键研究领域,包括基于社会化标注的推荐、组推荐和基于信任的推荐,之后介绍了在信息推荐中考虑时间因素时的情况,最后对社交媒体中信息推荐有待深入研究的难点和发展趋势进行了展望. 相似文献
19.
This article discusses visual literacy, its connection to information literacy, and its significance to scientific disciplines. It includes a case study from Washington and Lee (W&L) University that showcases how libraries can integrate visual literacy instruction into STEM courses. In the study, two W&L Library staff members partnered with one W&L visiting assistant professor of physics to transform a common assignment, the academic poster, into a digital form of visual communication. This shift resulted in a revised evaluative rubric and led to enhanced library led instruction focusing on information literacy, visual literacy, and digital literacy skills. 相似文献
20.
Detection of fake news has spurred widespread interests in areas such as healthcare and Internet societies, in order to prevent propagating misleading information for commercial and political purposes. However, efforts to study a general framework for exploiting knowledge, for judging the trustworthiness of given news based on their content, have been limited. Indeed, the existing works rarely consider incorporating knowledge graphs (KGs), which could provide rich structured knowledge for better language understanding.In this work, we propose a deep triple network (DTN) that leverages knowledge graphs to facilitate fake news detection with triple-enhanced explanations. In the DTN, background knowledge graphs, such as open knowledge graphs and extracted graphs from news bases, are applied for both low-level and high-level feature extraction to classify the input news article and provide explanations for the classification.The performance of the proposed method is evaluated by demonstrating abundant convincing comparative experiments. Obtained results show that DTN outperforms conventional fake news detection methods from different aspects, including the provision of factual evidence supporting the decision of fake news detection. 相似文献