scholarly journals Pelatihan Konsep Audio Visual Dalam Pengembangan Budaya Melayu Di Desa Tualang

2020 ◽  
Vol 1 (1) ◽  
pp. 27-31
Author(s):  
Jefrizal Jefrizal ◽  
Iik Idayanti ◽  
Ridwan Ridwan
Keyword(s):  
Social Media ◽  
Visual Information ◽  
Art And Culture

The purpose of this training is to provide an understanding of general audio-visual information and give tips to explore ideas from the potential of local art and culture content to be developed into content on social media. To achieve this, stages are needed, including exposure to general audio-visual information and exposure to tips to explore ideas from the potential of local art and culture content.

Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks for Fake News Detection

2021 ◽  
Vol 17 (3) ◽  
pp. 1-23
Author(s):  
Shengsheng Qian ◽  
Jun Hu ◽  
Quan Fang ◽  
Changsheng Xu
Keyword(s):  
Social Media ◽  
Visual Information ◽  
Representation Learning ◽  
Fake News ◽  
Unified Framework ◽  
Model Learning ◽  
Convolutional Network ◽  
Textual Information ◽  
Convolutional Networks ◽  
Real World Datasets

In this article, we focus on fake news detection task and aim to automatically identify the fake news from vast amount of social media posts. To date, many approaches have been proposed to detect fake news, which includes traditional learning methods and deep learning-based models. However, there are three existing challenges: (i) How to represent social media posts effectively, since the post content is various and highly complicated; (ii) how to propose a data-driven method to increase the flexibility of the model to deal with the samples in different contexts and news backgrounds; and (iii) how to fully utilize the additional auxiliary information (the background knowledge and multi-modal information) of posts for better representation learning. To tackle the above challenges, we propose a novel Knowledge-aware Multi-modal Adaptive Graph Convolutional Networks (KMAGCN) to capture the semantic representations by jointly modeling the textual information, knowledge concepts, and visual information into a unified framework for fake news detection. We model posts as graphs and use a knowledge-aware multi-modal adaptive graph learning principal for the effective feature learning. Compared with existing methods, the proposed KMAGCN addresses challenges from three aspects: (1) It models posts as graphs to capture the non-consecutive and long-range semantic relations; (2) it proposes a novel adaptive graph convolutional network to handle the variability of graph data; and (3) it leverages textual information, knowledge concepts and visual information jointly for model learning. We have conducted extensive experiments on three public real-world datasets and superior results demonstrate the effectiveness of KMAGCN compared with other state-of-the-art algorithms.

From Temples to Teahouses

2020 ◽  
Vol 7 (1) ◽  
pp. 34-61
Author(s):  
Gareth Fisher
Keyword(s):  
Social Media ◽  
Cultural Revolution ◽  
Lay Leaders ◽  
Buddhist Art ◽  
Lay Buddhism ◽  
Private Spaces ◽  
Art And Culture ◽  
Lay Buddhists ◽  
Key Events ◽  
State Restrictions

This article presents an overview of the nature of lay Buddhist revival in post-Mao China. After defining the category of lay practitioner, it outlines key events in the revival of lay Buddhism following the end of the Cultural Revolution. Following this, it describes three main aspects of the revival: the grassroots-organized formation of communities of lay Buddhists that gather at temples either to share and discuss the moral teachings of Buddhist-themed media or to engage in devotional activities; devotional and pedagogical activities organized for lay practitioners by monastic and lay leaders at temples and lay practitioners’ groves; and, more recently, the emergence of private spaces for specific practices such as meditation, the appreciation of Buddhist art and culture, and the discussion of teachings from specific Buddhist masters. The article concludes that while government-authorized temples continue to be active spaces for lay practitioners interested in Dharma instruction from monastics, regular devotional activities, and opportunities to earn merit and gain self-fulfillment through volunteerism, greater state restrictions on spontaneous lay-organized practices in temple space are increasingly leading lay practitioners to organize activities in private or semi-private spaces. The introduction of social media has facilitated the growth of Buddhist-related practices for laypersons in nontemple spaces.

scholarly journals Change in Evaluation Mode Can Cause a Cheerleader Effect

2021 ◽  
Vol 12 ◽  
Author(s):  
Claude Messner ◽  
Mattia Carnelli ◽  
Patrick Stefan Hähener
Keyword(s):  
Social Media ◽  
Visual Information ◽  
Visual Memory ◽  
Target Face ◽  
Contrast Effects ◽  
Evaluation Mode ◽  
Standard Of Comparison ◽  
Low Levels ◽  
Hierarchical Encoding ◽  
Practical Implications

The cheerleader effect describes the phenomenon whereby faces are perceived as being more attractive when flanked by other faces than when they are perceived in isolation. At least four theories predict the cheerleader effect. Two visual memory processes could cause a cheerleader effect. First, visual information will sometimes be averaged in the visual memory: the averaging of faces could increase the perceived attractiveness of all the faces flanked by other faces. Second, information will often be combined into a higher-order concept. This hierarchical encoding suggests that information processing causes faces to appear more attractive when flanked by highly attractive faces. Two further explanations posit that comparison processes cause the cheerleader effect. While contrast effects predict that a difference between the target face and the flanking faces causes the cheerleader effect due to comparison processes, a change in the evaluation mode, which alters the standard of comparison between joint and separate evaluation of faces, could be sufficient for producing a cheerleader effect. This leads to the prediction that even when there is no contrast between the attractiveness of the target face and the flanking faces, a cheerleader effect could occur. The results of one experiment support this prediction. The findings of this study have practical implications, such as for individuals who post selfies on social media. An individual’s face will appear more attractive in a selfie taken with people of low attractiveness than in a selfie without other people, even when all the faces have equally low levels of attractiveness.

scholarly journals Prototyping a Social Media Flooding Photo Screening System Based on Deep Learning

2020 ◽  
Vol 9 (2) ◽  
pp. 104 ◽  
Author(s):  
Huan Ning ◽  
Zhenlong Li ◽  
Michael E. Hodgson ◽  
Cuizhen (Susan) Wang
Keyword(s):  
Social Media ◽  
Visual Information ◽  
Decision Makers ◽  
Training Dataset ◽  
Screening System ◽  
Flood Events ◽  
Training Set ◽  
Photo Detection ◽  
Damage Impact ◽  
Total Accuracy

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and a WebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that the CNN can be re-trained by a larger training dataset when more analyst-verified flooding photos are being added to the training set in an iterative manner. The total accuracy of flooding photo detection was 93% in a balanced test set, and the precision ranges from 46–63% in the highly imbalanced real-time tweets. The system is plug-in enabled, permitting flexible changes to the classification module. Therefore, the system architecture and key components may be utilized in other types of disaster events, such as wildfires, earthquakes for the damage/impact assessment.

scholarly journals SOCIAL MEDIA INTERDISCIPLINARITY IN MULTIMODALITY OF ARTS AND CULTURE EDUCATION FOR MILLENIALS

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Yasinda Widya Fahmi ◽  
Djuli Djatiprambudi ◽  
Warih Handayaningrum
Keyword(s):  
High School ◽  
Social Media ◽  
Junior High School ◽  
Learning Process ◽  
Junior High ◽  
Interactive Learning ◽  
Culture Learning ◽  
Problem Solving Skills ◽  
Arts And Culture ◽  
Art And Culture

This study aims to explore the problems of art and culture interactive learning at the Junior High School level which belongs to the millennial generation. The focus of the study lies in the interdisciplinary aspect of social media in its delivery in multimodality of arts and culture learning process. Furthermore, to find out about opportunities, challenges, and responses from students about the use of social media in its development as a medium in art and culture interactive learning. The research method uses qualitative-analytic. Data collection used observation techniques which were carried out from January 2020 to June 2020, and questionnaires to 75 art teachers and 500 Junior High School students who were taken randomly, with spatial boundaries in Surabaya, East Java. The results showed that the learning involvement experienced by students had complexity and multimodality, including collaborative work, observing and evaluating each other's work, and involvement in finding, identifying, and exploring trends related to delivery in social media as a medium for art and culture learning process. Furthermore, it's able to motivate students to be more actively involved in learning with a sense of joy; positioning artwork with others on social media; increase the contextual and conceptual understanding in the material of art and culture and apply it as a process of actualizing students' aesthetic skills; and improve critical thinking and problem-solving skills.

scholarly journals InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Moemmur Shahzad ◽  
Ayesha Amin ◽  
Diego Esteves ◽  
Axel-Cyrille Ngonga Ngomo
Keyword(s):  
Social Media ◽  
Visual Information ◽  
State Of The Art ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Named Entity ◽  
Current State ◽  
Sentence Level ◽  
Level Information ◽  
External Sources

We investigate the problem of named entity recognition in the user-generated text such as social media posts. This task is rendered particularly difficult by the restricted length and limited grammatical coherence of this data type. Current state-of-the-art approaches rely on external sources such as gazetteers to alleviate some of these restrictions. We present a neural model able to outperform state of the art on this task without recurring to gazetteers or similar external sources of information. Our approach relies on word-, character-, and sentence-level information for NER in short-text. Social media posts like tweets often have associated images that may provide auxiliary context relevant to understand these texts. Hence, we also incorporate visual information and introduce an attention component which computes attention weight probabilities over textual and text-relevant visual contexts separately. Our model outperforms the current state of the art on various NER datasets. On WNUT 2016 and 2017, our model achieved 53.48\% and 50.52\% F1 score, respectively. With Multimodal model, our system also outperforms the current SOTA with an F1 score of 74\% on the multimodal dataset. Our evaluation further suggests that our model also goes beyond the current state-of-the-art on newswire data, hence corroborating its suitability for various NER tasks.

Preparing Students for the Fight Against False Information With Visual Verification and Open Source Reporting

2019 ◽  
Vol 74 (2) ◽  
pp. 227-239 ◽  
Author(s):  
Amy Schoenfeld Walker
Keyword(s):  
Social Media ◽  
Open Source ◽  
Satellite Imagery ◽  
Visual Information ◽  
False Information ◽  
The Press ◽  
The Media ◽  
Source Materials

While some journalists analyze and verify “open source” materials such as social media, eyewitness video, and satellite imagery to hold leaders and institutions accountable, many journalists and students are not learning basic digital verification skills. Research shows that journalists find this work challenging and that newsrooms do not consistently offer resources. Educators can fill this gap, and address problems the press faces in a post-truth age, such as student overtrust of digital sources, public distrust of the media, and the advancement of tools to fake visual information. This essay offers exercises and resources for educators in a variety of settings.

Organic food consumerism through social commerce in China

2019 ◽  
Vol 31 (1) ◽  
pp. 202-222 ◽  
Author(s):  
Anum Tariq ◽  
Changfeng Wang ◽  
Yasir Tanveer ◽  
Umair Akram ◽  
Zubair Akram
Keyword(s):  
Social Media ◽  
Visual Information ◽  
Online Survey ◽  
Organic Food ◽  
Moderating Effect ◽  
Impulse Buying ◽  
Social Commerce ◽  
Content Type ◽  
Website Features ◽  
The Impact

PurposeThe purpose of this paper is to examine the impact of consumers’ attitudes towards organic food on online impulse buying behaviour as well as the moderating effect of three website features (visual, information and navigation design) on this relationship.Design/methodology/approachSurvey data were collected via an online survey using social media platforms. A total of 653 online questionnaires were collected (response rate = 72.5 per cent) and analysed by applying exploratory and confirmatory factor analyses. The proposed hypotheses were tested through structural equation modelling.FindingsSocial media forums, ratings and reviews shape Chinese consumers’ attitudes towards organic food and positively influence their online impulse buying in this market. Website features are critical for disseminating information on organic food. Informative webpages featuring product quality and certification have a greater moderating effect on purchase. Information cues such as nutritional content; production and processing methods, and environmentally friendliness also influence consumers’ attitudes and thus impulse buying decisions.Practical implicationsMarketers should reconsider their tactics for dealing with modern consumers, as webpages should be user-friendly and visually appealing with a social learning mechanism to drive organic food consumption.Originality/valueThis study bridges a gap in the literature on social commerce initiatives for developing consumers’ attitudes towards organic food and online impulse buying. Further, it proposes measures that can enhance organic consumption and contributes to the literature on the importance of social factors, resulting in enhanced knowledge on the online impulse buying of organic food.

The role of need for cognition in consumers' mental imagery: a study of retail brand's Instagram

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ran Huang ◽  
Sejin Ha
Keyword(s):  
Social Media ◽  
Cognitive Processing ◽  
Mental Imagery ◽  
Visual Information ◽  
Structural Equation ◽  
Need For Cognition ◽  
Processing Fluency ◽  
Survey Method ◽  
Content Type

PurposeDrawn from the concepts of processing fluency and mental imagery, the present study aims to fill the void by developing the mechanism underlying consumers' cognitive processing of visually appealing digital content in social media (i.e. Instagram) of retail brands.Design/methodology/approachData were gathered using a web-based survey method with consumers residing in the USA (N = 328). Structural equation modelling (SEM) was employed to investigate the proposed hypotheses. In addition, measurement invariance and multigroup analyses were conducted to test the moderation effect of need for cognition (NFC).FindingsThe results supported the pivotal role of mental imagery when consumers process visual messages in the context of a retail brand's Instagram. Both comprehension fluency and imagery fluency positively influence mental imagery, which in turn cultivates positive attitude towards the brand. The mediating role of mental imagery is confirmed. Furthermore, individuals' NFC interacts with imagery fluency but not with comprehension fluency such that high NFC strengthens the effect of imagery fluency on mental imagery. That is, when high-NFC consumers process information on Instagram, their perceptions of ease of generating imagery likely evoke visual representation of the brand's messages on Instagram in their minds.Practical implicationsThis research provides feasible ways for brands to increase the effectiveness of digital marketing communications in social media (e.g. optimising of the contextual features of visual information and employing interactive features such as filters of social media to enhance processing fluency).Originality/valueWithin the context of digital retailing, this study provides a new perspective of consumers' imagery processing to investigate the effectiveness of visual-focussed messages.

Sign in / Sign up

Export Citation Format

Share Document