Social Multimedia Mining

Author(s):  
Georgios Lappas

In recent years there is a vast and rapidly growing amount of multimedia content available online. Web 2.0 and online social networks have dramatically influenced the growing amount of multimedia content due to the fact that users become more active producers and distributors of such multimedia context. This work conceptualizes and introduces the concept of social multimedia mining as a new emerging research area that combines web mining research, multimedia research and social media research. New challenges in multimedia research, social network analysis research as well as trends and opportunities in research areas of social and communication studies and more specific in politics, public relations, public administration, marketing and advertising are discussed in this chapter.

2021 ◽  
Author(s):  
Richard Hartman ◽  
Tereza Simova

In 2018 Facebook blocked a public Application Programming Interfaces (API) that could be used to download data from Facebook and Instagram. Much uncertainty still exists about the effect on social media research due to changes in Instagram API conditions. The presented paper provides an overview of the Instagram domain in terms of a research area. The main focus of this research is on the comparison of the key topics before and after the change of the Instagram API terms (comparing Instagram's research domain before and after 2018). A partial goal was to find out how the change in the conditions of the Instagram API has changed the number of social media research itself. We used a bibliometric approach to map the domain of Instagram. The paper has identified key topics in the domain of Instagram. Between the years 2010 and 2018 the key topics were gender, behavior on social media, dissemination of information, and platform selection. After the change of Instagram API conditions, after 2018, the key topics were gratifications, body image, dissatisfaction, and basic Instagram topics. The paper has found that generally, there was no change in research topics, nor the number of papers published after the Instagram API condition. Further study should focus on establish the relationships between Instagram use and psychological well-being; investigate the motives for Instagram use a study the effect of Instagram API on research with the use of different methods; gaining a better understanding of social media consumer activity; establish whatever our key topics are relevant to other social media platforms (Facebook, Twitter or Tiktok); study Instagram domain on different citation databases (e.g., in Scopus). This paper has also raised important questions about whether the Instagram API should be or should not be open for research purposes.


2012 ◽  
Vol 89 (2) ◽  
pp. 279-298 ◽  
Author(s):  
Hyoungkoo Khang ◽  
Eyun-Jung Ki ◽  
Lan Ye

Drawing upon the social media phenomena in both practical and academic arenas, this study explored patterns and trends of social media research over the past fourteen years across four disciplines. Findings exhibit a definite increasing number of social-media-related studies. This indicates that social media have gained incremental attention among scholars, and who have, in turn, been responding and keeping pace with the increased usage and impact of this new medium. The authors suggest that future scholarly endeavors emphasize prospective aspects of social media, foreseeing applications and technological progress and elaborating theory.


2020 ◽  
Vol 36 (4) ◽  
pp. 1199-1211
Author(s):  
Jennifer Parker ◽  
Kristen Miller ◽  
Yulei He ◽  
Paul Scanlon ◽  
Bill Cai ◽  
...  

The National Center for Health Statistics is assessing the usefulness of recruited web panels in multiple research areas. One research area examines the use of close-ended probe questions and split-panel experiments for evaluating question-response patterns. Another research area is the development of statistical methodology to leverage the strength of national survey data to evaluate, and possibly improve, health estimates from recruited panels. Recruited web panels, with their lower cost and faster production cycle, in combination with established population health surveys, may be useful for some purposes for statistical agencies. Our initial results indicate that web survey data from a recruited panel can be used for question evaluation studies without affecting other survey content. However, the success of these data to provide estimates that align with those from large national surveys will depend on many factors, including further understanding of design features of the recruited panel (e.g. coverage and mode effects), the statistical methods and covariates used to obtain the original and adjusted weights, and the health outcomes of interest.


2017 ◽  
Vol 6 (1) ◽  
pp. 91
Author(s):  
Roveneldo Roveneldo

This research discusses the differences of vowel correspondences, vowel, and  consonant variations of Tulangbawang dialect of Lampung language in six research areas. The data collecting technique was conducted by applying  dialectology method. Moreover, this research used the list of questions  that  listed in Swadesh’s basic vocabularies. The result showed that there are  differences in the linguistic elements in Lampung language which include  the  differences in phonology, morphology, and lexicon. In the phonological differences, it was found that there are one vowel correspondence, eleven vowel variations, and twenty three consonant variations. In general, vowel correspondence lies in the end of words, and the tendency of occurring is found  in the research area 1, 3, 4, and 5. All research areas always have similarities  but there are various changes for each correspondence in research area number  six. In the morphological differences, there are differences in the form of suffixes namely correspondences. Besides, there are some lexical differences found in the six research areas.Abstrak Penelitian ini membahas perbedaan korespondensi vokal, variasi vokal, dan variasi konsonan dalam bahasa Lampung dialek Tulangbawang di 6 titik pengamatan. Pengambilan data dilakukan dengan menggunakan metode dialektologi. Selain itu, penelitian ini menggunakan daftar pertanyaan yang digunakan pada 200 kosakata dasar swadesh. Ditemukan perbedaan unsur-unsur kebahasaan dalam bahasa Lampung yang meliputi perbedaan; fonologi, morfologi, dan leksikon. Perbedaan fonologi ditemukan satu korespondensi vokal, sebelas variasi vokal, dan dua puluh tiga variasi konsonan. Umumnya korespondensi vokal posisi akhir kata, ada kecendrungan pada daerah titik pengamatan 1, 3, 4, dan 5. Kesemua itu selalu memiliki kesamaan walaupun pada enam daerah titik pengamatan memiliki perubahan yang berbeda-beda untuk setiap korespondensi yang ditemukan. Dalam perbedaan morfologi terdapat perbedaan bentuk sufiks yang berupa korespondensi. Selain itu, perbedaan leksikon cukup banyak ditemukan pada enam titik daerah pengamatan.


2021 ◽  
pp. 136787792110035
Author(s):  
Mari Lehto ◽  
Susanna Paasonen

This article investigates the affective power of social media by analysing everyday encounters with parenting content among mothers. Drawing on data composed of diaries of social media use and follow-up interviews with six women, we ask how our study participants make sense of their experiences of parenting content and the affective intensities connected to it. Despite the negativity involved in reading and participating in parenting discussions, the participants find themselves wanting to maintain the very connections that irritate them, or even evoke a sense of failure, as these also yield pleasure, joy and recognition. We suggest that the ambiguities addressed in our research data speak of something broader than the specific experiences of the women in question. We argue that they point to the necessity of focusing on, and working through affective ambiguity in social media research in order to gain fuller understanding the complex appeal of platforms and exchanges.


Author(s):  
Bradley M. Davis ◽  
Samineh C. Gillmore ◽  
Derek Millard

Several methodologies in user centered research lead to the collection of large amounts of comments about a product or system. The growth of social media research has led to the development of sentiment analysis algorithms that computationally analyze the meaning of text. This paper utilized the Valence Aware Dictionary for sEntiment Reasoning (VADER) sentiment analysis technique to assess comments from a user centered design study for a rotorcraft degraded visual environment mitigation system. The sentiment analysis findings mirror results from the other measures of the user centered design study. This paper supports the use of sentiment analysis for large volumes of comment data from user centered design studies.


2012 ◽  
Vol 444 (2) ◽  
pp. 169-181 ◽  
Author(s):  
Jay J. Thelen ◽  
Ján A. Miernyk

A newcomer to the -omics era, proteomics, is a broad instrument-intensive research area that has advanced rapidly since its inception less than 20 years ago. Although the ‘wet-bench’ aspects of proteomics have undergone a renaissance with the improvement in protein and peptide separation techniques, including various improvements in two-dimensional gel electrophoresis and gel-free or off-gel protein focusing, it has been the seminal advances in MS that have led to the ascension of this field. Recent improvements in sensitivity, mass accuracy and fragmentation have led to achievements previously only dreamed of, including whole-proteome identification, and quantification and extensive mapping of specific PTMs (post-translational modifications). With such capabilities at present, one might conclude that proteomics has already reached its zenith; however, ‘capability’ indicates that the envisioned goals have not yet been achieved. In the present review we focus on what we perceive as the areas requiring more attention to achieve the improvements in workflow and instrumentation that will bridge the gap between capability and achievement for at least most proteomes and PTMs. Additionally, it is essential that we extend our ability to understand protein structures, interactions and localizations. Towards these ends, we briefly focus on selected methods and research areas where we anticipate the next wave of proteomic advances.


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