Assessing the quality of textual features in social media

2013 ◽  
Vol 49 (1) ◽  
pp. 222-247 ◽  
Author(s):  
Flavio Figueiredo ◽  
Henrique Pinto ◽  
Fabiano Belém ◽  
Jussara Almeida ◽  
Marcos Gonçalves ◽  
...  
Keyword(s):  
Social Media ◽  
Textual Features

Microsurgery Fellowship Website and Social Media Presence: Are Programs Optimizing Recruitment Strategy?

2020 ◽  
Author(s):  
Andrew Atia ◽  
Hannah C. Langdell ◽  
Andrew Hollins ◽  
Ronnie L. Shammas ◽  
Adam Glener ◽  
...  
Keyword(s):  
Social Media ◽  
Plastic Surgery ◽  
San Francisco ◽  
Selection Process ◽  
Recruitment Strategy ◽  
Published Data ◽  
Social Media Presence ◽  
Eligibility Requirements ◽  
Program Description

Abstract Background Microsurgery fellowship applicants make decisions for future training based on information obtained from colleagues, mentors, and microsurgery fellowship program Websites (MFWs). In this study, we sought to evaluate the accessibility and quality of available information by microsurgery programs by analyzing the most commonly used web resources and social media outlets for applicants. Methods The San Francisco (SF) Match and American Society of Reconstructive Microsurgery Websites were queried in April 2020 for microsurgery fellowship programs (MFPs) participating in the SF Match. Twenty-two independent variables of information were assessed on MFWs based on previously published data. Social media presence was also assessed by querying Facebook, Instagram, and Twitter for official hospital, plastic surgery residency, and microsurgery fellowship accounts. Results All 24 MFWs participating in the SF Match had a webpage. Program description, faculty listing, operative volume, and eligibility requirements were listed for all programs (100%). The majority of MFWs listed affiliated hospitals (75%), provided a link to the fellowship application (66.7%), listed interview dates (66.7%), and highlighted research interests (50%). A minority of MFWs provided information on conference schedule (37.5%), current fellow listing (25%), previous fellow listing (16.67%), and positions held by previous fellows (8.33%). No MFWs (0%) presented information on selection process, or rotation schedule.All hospitals with an MFP had a Facebook page and nearly all had Instagram (83.3%) and Twitter accounts (95.8%). Plastic surgery residency programs at the same institution of an MFP had social media presence on Facebook (38.9%), Twitter (38.9%), and Instagram (66.7%). Only three MFPs had Facebook accounts (12.5%) and none had Instagram or Twitter accounts. Conclusion As the field of microsurgery continues to grow, the need for effective recruitment and training of microsurgeons continues to be essential. Overall, we conclude that both the accessibility and quality of information available to applicants are limited, which is a missed opportunity for recruitment.

PENGARUH KUALITAS INFORMASI DAN KUALITAS LAYANAN TERHADAP SIKAP DALAM PENGGUNAAN SISTEM APLIKASI DENGAN KEMUDAHAN PENGGUNAAN SEBAGAI VARIABEL INTERVENING PADA JASA TRANSPORTASI ONLINE (GOJEK) DI YOGYAKARTA

2019 ◽  
Vol 27 (2) ◽  
pp. 119-133
Author(s):  
Putri Aprilia Isnaini ◽  
Ida Bagus Nyoman Udayana
Keyword(s):  
Social Media ◽  
Quality Of Service ◽  
Information Quality ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Quality Of Services ◽  
Quality Of Information ◽  
Transportation Services ◽  
Application Systems

This writing is done to determine the effect of information quality and service quality on attitudes in the use of application systems with the ease of use of the system as an intervining variable in online transportation services (gojek) in Yogyakarta. The sample in this study is customers who use online motorcycle transportation services in Yogyakarta. The sampling technique uses accidental sampling technique. Data collection is done by distributing online questionnaires through the Goegle form and distributed with social media such as WhatsApp and Instagram on a 1-4 scale to measure 4 indicators. The results of this study show 1) the quality of information affects the ease of use, 2) the quality of service affects the ease of use, 3) the quality of information influences attitudes in use, 4) the quality of services does not affect attitudes in use, and 5) ease of use attitude in use.

Maqâṣid Al-Qur’ân In The Interpretation of M. Quraish Shihab About The Verse of Social Media Usage

2020 ◽  
Vol 28 (1) ◽  
pp. 44
Author(s):  
Johar Arifin ◽  
Ilyas Husti ◽  
Khairunnas Jamal ◽  
Afriadi Putra
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Quality Of Information ◽  
Media Usage ◽  
Large Group ◽  
Six Elements ◽  
Written Law ◽  
Use Of Social Media ◽  
The Universe

This article aims to explain maqâṣid al-Qur’ân according to M. Quraish Shihab and its application in interpreting verses related to the use of social media. The problem that will be answered in this article covers two main issues, namely how the perspective of maqâṣid al-Qur’ân according to M. Quraish Shihab and how it is applied in interpreting the verses of the use of social media. The method used is the thematic method, namely discussing verses based on themes. Fr om this study the authors concluded that according to M. Quraish Shihab there are six elements of a large group of universal goals of the al-Qur’ân, namely strengthening the faith, humans as caliphs, unifying books, law enforcement, callers to the ummah of wasathan, and mastering world civilization. The quality of information lies in the strength of the monotheistic dimension which is the highest peak of the Qur’anic maqâṣid. M. Quraish Shihab offers six diction which can be done by recipients of information in interacting on social media. Thus, it aims to usher in the knowledge and understanding of what is conveyed in carrying out human mission as caliph, enlightenment through oral and written, law enforcement, unifying mankind and the universe to the ummah of wasathan, and mastery of world civilization

Hybrid features prediction model of movie quality using Multi-machine learning techniques for effective business resource planning

2021 ◽  
Vol 40 (5) ◽  
pp. 9361-9382 ◽  
Author(s):  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Faisal Jamil ◽  
Do-Hyeun Kim
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Resource Planning ◽  
Experimental Results ◽  
Quality Prediction ◽  
Classification Models ◽  
Hybrid Features ◽  
Social Media Data ◽  
Media Data

Quality prediction plays an essential role in the business outcome of the product. Due to the business interest of the concept, it has extensively been studied in the last few years. Advancement in machine learning (ML) techniques and with the advent of robust and sophisticated ML algorithms, it is required to analyze the factors influencing the success of the movies. This paper presents a hybrid features prediction model based on pre-released and social media data features using multiple ML techniques to predict the quality of the pre-released movies for effective business resource planning. This study aims to integrate pre-released and social media data features to form a hybrid features-based movie quality prediction (MQP) model. The proposed model comprises of two different experimental models; (i) predict movies quality using the original set of features and (ii) develop a subset of features based on principle component analysis technique to predict movies success class. This work employ and implement different ML-based classification models, such as Decision Tree (DT), Support Vector Machines with the linear and quadratic kernel (L-SVM and Q-SVM), Logistic Regression (LR), Bagged Tree (BT) and Boosted Tree (BOT), to predict the quality of the movies. Different performance measures are utilized to evaluate the performance of the proposed ML-based classification models, such as Accuracy (AC), Precision (PR), Recall (RE), and F-Measure (FM). The experimental results reveal that BT and BOT classifiers performed accurately and produced high accuracy compared to other classifiers, such as DT, LR, LSVM, and Q-SVM. The BT and BOT classifiers achieved an accuracy of 90.1% and 89.7%, which shows an efficiency of the proposed MQP model compared to other state-of-art- techniques. The proposed work is also compared with existing prediction models, and experimental results indicate that the proposed MQP model performed slightly better compared to other models. The experimental results will help the movies industry to formulate business resources effectively, such as investment, number of screens, and release date planning, etc.

scholarly journals Humans rely more on algorithms than social influence as a task becomes more difficult

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Bogert ◽  
Aaron Schecter ◽  
Richard T. Watson
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Social Influence ◽  
Correct Answer ◽  
Online Reviews ◽  
Personal Networks ◽  
Human Judgment ◽  
Individual Decision ◽  
Individual Decision Making

AbstractAlgorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.

Therapeutic Affordances of Social Media and Associated Quality of Life Outcomes in Young Adults

2021 ◽  
pp. 089443932110329
Author(s):  
Paul Dodemaide ◽  
Mark Merolli ◽  
Nicole Hill ◽  
Lynette Joubert
Keyword(s):  
Quality Of Life ◽  
Social Media ◽  
Young Adults ◽  
Well Being ◽  
Evidence Base ◽  
Social And Emotional ◽  
Perceived Quality Of Life ◽  
Use Of Social Media ◽  
The Relationship

There is a growing body of literature exploring the general population’s use of social media for assistance in dealing with stigmatized health issues. This study presents novel research examining the relationship between social media use and young adults. It utilizes a therapeutic affordance (TA) framework. Quantitative results from this study are complemented by qualitative data. The relationships between distinct social media and their TA (a–b) are presented to highlight their potential to impact positively on social and emotional well-being outcomes. Evidence includes broad support for “connection,” “narration,” and “collaboration” TAs in this context and the relationship between the use of distinct social media and perceived quality of life (QOL) outcomes (a–c). TA provides an appropriate and valuable theoretical framework which is useful for the development of an evidence-base from the analysis of young adult’s social media usage. An analysis of the association between social media and their QOL outcomes is presented according to the TA relationship pathway (a–c–b). The adoption of a TA framework enables a nuanced analysis of significant associations between specific social media, TA, and improved QOL outcomes. This study demonstrates the significant association between social media and perceived QOL outcomes in young adults.

Is digital always better? Comparing two English print dictionaries with their digital counterparts

2020 ◽  
Author(s):  
Emma Ferrett ◽  
Stefan Dollinger
Keyword(s):  
Social Media ◽  
Mobile App ◽  
User Friendliness ◽  
Digital Medium ◽  
Advantages And Disadvantages ◽  
Oxford University ◽  
Relevant Question ◽  
Market Leader ◽  
Oxford University Press

Abstract In this paper we discuss advantages and disadvantages of e-dictionaries over print dictionaries in order to answer one increasingly relevant question: is digital always better? We compare the e-content from Oxford University Press and Merriam-Webster flagship dictionaries against their most recent print counterparts. The resulting data shows that the move from print to digital, against popular perception, results in a loss of lexicographical detail and scope. After assessing the user-friendliness of the e-dictionaries’ sites in both desktop and mobile app formats, we conclude that Merriam-Webster currently utilizes the digital medium somewhat better, while Oxford University Press is the current market leader in collaborations with tech giants such as Google. Most crucially, however, both companies have yet to devise and implement optimal ways to balance advertising noise and lexicographical content. Finally, we compare the virtual popularity of e-dictionaries according to their social media efforts and product partnerships. The greatest problem e-dictionaries currently face is that content does routinely change in unspecified and even undocumented ways. Despite these significant disadvantages, the convenience of mobile online accessibility appears to outweigh the concern with the reliability and quality of content.

scholarly journals Combining textual features to detect cyberbullying in social media posts

2020 ◽  
Vol 176 ◽  
pp. 612-621
Author(s):  
Meisy Fortunatus ◽  
Patricia Anthony ◽  
Stuart Charters
Keyword(s):  
Social Media ◽  
Textual Features
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