scholarly journals Testing and Analyzing the Accuracy of Websites by Automated Scanner

2019 ◽  
Vol 8 (9) ◽  
pp. 2103-2108
Keyword(s):  
Social Media ◽  
Online Security ◽  
The Social ◽  
Day By Day ◽  
Better Than

According to the research on “scanning the vulnerabilities in websites using automation technique”the tool was only scanned those website which have the vulnerabilities in it, we reviewed the tool one more time and scanned more websites for monitoring the accuracy of the scanner and changed some parameters for diverse results [1]. Whenever it comes to the online security, this phrase “precaution is better than a cure” suits the situation in today’s life. People have some laziness or they may be naive for this because they do not know that they could be hacked anytime that’s why they need to be secure every time even on social media. Instead of the social media account there are many websites which could also be hacked easily. So, this tool/scanner is being updated and getting more accurate day by day so once we will know about the problems (flaws) of the websites then we could easily make them (websites) secure.

scholarly journals Perceiving education from Facebook profile pictures

2019 ◽  
Vol 22 (3) ◽  
pp. 550-570 ◽  
Author(s):  
Michael V. Reiss ◽  
Milena Tsvetkova
Keyword(s):  
Social Media ◽  
Large Scale ◽  
Educational Background ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
Outdoor Activities ◽  
Online Study ◽  
The Social ◽  
Profile Pictures ◽  
Better Than

Our upbringing and education influence not only how we present and distinguish ourselves in the social world but also how we perceive others. We apply this central sociological idea to the social media context. We conduct a large-scale online study to investigate whether observers can correctly guess the education of others from their Facebook profile pictures. Using the binomial test and cross-classified mixed-effects models, we show that observers can assess the education of depicted persons better than chance, especially when they share the same educational background and have experience with the social media. We also find that posting pictures of outdoor activities is a strong signal of having higher education, while professional photographs can obscure education signals. The findings expand our knowledge of social interaction and self-expression online and offer new insights for understanding social influence on social media.

Social Media News Classification in Healthcare Communication

2019 ◽  
Vol 9 (6) ◽  
pp. 1215-1223 ◽  
Author(s):  
Fiaz Majeed ◽  
Muhammad Waqas Asif ◽  
Muhammad Awais Hassan ◽  
Syed Ali Abbas ◽  
M. Ikramullah Lali
Keyword(s):  
Social Media ◽  
Support Vector ◽  
Learning Approaches ◽  
Healthcare Organizations ◽  
Significant Information ◽  
Health News ◽  
Related Data ◽  
The Social ◽  
Health Related ◽  
Better Than

The trend of news transmission is rapidly shifting from electronic media to social media. Currently, news channels in general, while health news channels specifically send health related news on social media sites. These news are beneficial for the patients, medical professionals and the general public. A lot of health related data is available on the social media that may be used to extract significant information and present several predictions from it to assist physicians, patients and healthcare organizations for decision making. However, A little research is found on health news data using machine learning approaches, thus in this paper, we have proposed a framework for the data collection, modeling, and visualization of the health related patterns. For the analysis, the tweets of 13 news channels are collected from the Twitter. The dataset holds approximately 28k tweets available under 280 hashtags. Furthermore, a comprehensive set of experiments are performed to extract patterns from the data. A comparative analysis is carried among the baseline method and four classification algorithms which include Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (J48). For the evaluation of the results, the standard measures accuracy, precision, recall and f-measure have been used. The results of the study are encouraging and better than the other studies of such kind.

scholarly journals Bi-Lingual (English, Punjabi) Sarcastic Sentiment Analysis by using Classification Methods

2019 ◽  
Vol 8 (9) ◽  
pp. 1383-1388
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Main Step ◽  
Online Data ◽  
Social Media Data ◽  
The Social ◽  
Negative Comments ◽  
Regional Languages ◽  
Media Data ◽  
Day By Day

Sentiment analysis is one of the heated topic in the field of text mining. As the social media data is increased day by day the main need of the data scientists is to classify the data so that it can be further used for decision making or knowledge discovery. Now –a-days everything and everyone available online so to check the latest trends in business or in daily life one must consider the online data. The main focus of sentiment analysis is to focus on positive or negative comments so that a well define picture is created that what is trending or not but the sarcasm manipulates the data as in sarcastic comment negative comment consider as positive because of the presence of positive words in the comment or data so it is necessary to detect the sarcasm in online data . The data on social media is available in various languages so sentiment analysis in regional languages is also a main step . In the proposed work we focus on two languages i.e Punjabi and English. Here we use deep learning based neural networks for the sarcasm detection in English as well as Punjabi language. In the proposed work we consider three datasets i.e. balanced English dataset, Balanced Punjabi Dataset and unbalanced Punjabi dataset. We used six different models to check the accuracy of the classified data the models we used are LSTM with word embedding layer, BiLSTM with , LSTM+LSTM, BiLSTM+BiLSTM, LSTM+BiLSTM, CNN respectively. LSTM provide better accuracy for balanced Punjabi and English dataset i.e. 95.63% and 94.17% respectively. The accuracy for unbalanced Punjabi dataset is provided by BiLSTM i.e.96.31%.

scholarly journals Exploring the Benefit of Blogs Dependency for Assessing Students’ Intellectual Achievement

2021 ◽  
pp. 123-131
Author(s):  
Imran Ademola Adeleke ◽  
Ismail Olaniyi Muraina
Keyword(s):  
Social Media ◽  
High Performance ◽  
Teaching And Learning ◽  
Test Statistics ◽  
Paper Test ◽  
Traditional Assessment ◽  
The Social ◽  
Intellectual Achievement ◽  
Teacher's Knowledge ◽  
Better Than

Blogs stand out among many social media that allows teacher and students to maintain a running dialogue in various aspect of the teaching and learning process. It comes in form of thoughts, ideas, tests, short-works/homework and assignment to enhance interactivity between the teacher’s knowledge base and students’ comments and reflections. This paper promotes the use of blogs in assessing students’ intellectuals while comparing the use of blogging for assessment as well as the use of traditional assessment. The study stresses scoring on paper versus scoring on blogs, students that we're able to complete their visitation of the blogs were noted to enjoy and benefit greatly compare to those that could not finish theirs and whether the performance of male bloggers may be different from that of female bloggers. 45 students involved in this study from among degree students of Achievers University. The research study was done within a semester. The achievement test was the major instrument used to collect data from the same students that were exposed to two different tests (Paper Test/Traditional Test and Blogging Test) after proper classroom teaching. The results got were analyzed using mean, SD and T-test statistics. From the findings, it was succinctly shown that the scores of students engaged in blogs far better than when they initially tested traditionally. In the same trend, those students that completed their test on blogs demonstrated high performance than their counterparts that could not. Further, the results also made it crystal clear that students were distributed equally on blogging regardless of their gender differences. The findings from the interview conducted established the fact that the use of a blog for assessment saves student time, the distance for learning and having quick result as feedback. The student has a high interest in the use of a blog for academic purposes rather than only the social affairs of the student. The paper contributes to the existing knowledge by turning blogs as social media into academic media that can foster the academic achievement of students and can also be used to assess students better than traditional assessment.

scholarly journals COMMUNICATION EFFECTIVENESS OF SURABAYA CITY GOVERNMENT THROUGH TWITTER AND FACEBOOK

2021 ◽  
Vol 19 (1) ◽  
pp. 170-182
Author(s):  
Saodatul Qhamariyah ◽  
Achmad Nurmandi
Keyword(s):  
Social Media ◽  
City Government ◽  
Accurate Information ◽  
Communication Effectiveness ◽  
The Public ◽  
The Social ◽  
Information And Communication ◽  
The Government ◽  
Social Media Tool ◽  
Better Than

Advances in information and communication technology encourage the government as a stakeholder to have social media accounts. Likewise, the community is also required to have social media as a means of communication. The importance of social media has a very significant impact, especially in the field of government, for example as a medium in conveying suggestions and complaints from the public to the government or vice versa. Twitter and Facebook are some of the social media that are very popular with Indonesians. Including the Surabaya City Government, to support and develop policy programs made, they use this social media tool as an effective medium of communication. The purpose of this study was to determine the level of effectiveness of Surabaya city government communication via Twitter and Facebook. The research method used is descriptive qualitative by utilizing the Nvivo application to process the data. In this study, there are several assessment indicators used as benchmarks, namely (1) Accuracy, (2) Creativity, (3) Activeness, (4) Interaction, (5) Transparency. From the research results, it is known that the effectiveness of communication via Twitter is better than Facebook in terms of accurate information, creativity, activeness, and transparency. Meanwhile, in terms of interaction, Facebook is higher. Therefore, the Government is required to be even more innovative in conveying information to the public, so that people have an interest in knowing information about government and policies that have been announced.

scholarly journals The Booming Social Media and Increasing Perceptual Loneliness: The Scientific Co-Relational Study

2016 ◽  
Vol 3 (4) ◽  
Author(s):  
Dr. Prashant G. Sonawanen ◽  
Dr. Karuna S. Wankhade
Keyword(s):  
Social Media ◽  
Variable Ratio ◽  
Age Group ◽  
Positive Correlation ◽  
Adult Age ◽  
Loneliness Scale ◽  
The Social ◽  
The World ◽  
Use Of Social Media ◽  
Day By Day

Day by day the world is coming closer and closer, and the communication is becoming super quick than ever, just at the finger tips of a person. And social media played an important role in it, where you can communicate with the group at a time whenever and wherever you wish so. This has done marvelous change in the communication of people and it proved great asset, but at the same time it is creating a sort of virtual and superficial bonds in the relations which are not able to give the feel of connectedness in a true sense. Many of the studies that are done shows that, the social mediums which are opening communication on the broad platform, but at the same time creating the loneliness feeling deep within and which is increasing day by day. So the present study attempts to understand the co-relation between these two issues scientifically. Present study is done with the help of standardized perceptual Loneliness scale by Dr. Praveen Kumar Zha, and a Non-standardized scale for measuring the extent of the use of social media constructed by researcher. Samples are the individuals from adolescent to adult age group, of various professions, who are using the social media in significant and variable ratio. Result of the study concluded that there is positive correlation in both these variables. Implications and suggestions for the study are highlighted.  Suggestions for further study are offered.

scholarly journals نوجوانوں میں خودکشی کا بڑھتا ہوا رجحان، اسباب اور اس کا حل سیرت طیبہ کی روشنی میں

rahatulquloob ◽  
2019 ◽  
Vol 3 (2(2)) ◽  
pp. 63-74
Author(s):  
Dr. Shazia Ramzan ◽  
Dr. Sabeen Akbar
Keyword(s):  
Social Sciences ◽  
Social Media ◽  
Young Girls ◽  
Islamic Country ◽  
The Social ◽  
Increasing Trend ◽  
Use Of Social Media ◽  
Day By Day

Suicide is strictly forbidden in Islam. But now a days we can see that ratio of suicide is increasing day by day in our society and this increasing ratio of suicide is mostly among youngsters. Being an Islamic country and being Muslims, it is an alarming situation for all of us and a moment to stop and think that why our youth is involving in this haram act .We conducted a survey among youngsters. We constructed a questionnaire. We asked about the causes, factors increasing this trend, main cause and steps to reduce this ratio. Our respondents were young girls. So after filling questionnaire we came to know that one of the biggest cause of increasing trend of suicide is gap from Islamic Teachings. And some other causes are poverty, unemployment, laziness of parents in supervision of children, use of social media, and failure in exam. So at end we concluded that we follow Islamic teachings properly and spend our life according to the teaching of Islam then this ratio can be decreased. We used SPSS statistical package for the social sciences for analysis of this data.

scholarly journals Emotion Detection in Twitter Social Media Using Long Short-Term Memory (LSTM) and Fast Text

2021 ◽  
Vol 3 (1) ◽  
pp. 15-26
Author(s):  
M Alfa Riza ◽  
Novrido Charibaldi
Keyword(s):  
Social Media ◽  
Short Term Memory ◽  
Word Embedding ◽  
Emotion Detection ◽  
Short Term ◽  
Employee Recruitment ◽  
The Social ◽  
Long Short Term Memory ◽  
Education Business ◽  
Better Than

Emotion detection is important in various fields such as education, business, employee recruitment. In this study, emotions will be detected with text that comes from Twitter because social media makes users tend to express emotions through text posts. One of the social media that has the highest user growth rate in Indonesia is Twitter. This study will use the LSTM method because this method is proven to be better than previous studies. Word embedding fast text will also be used in this study to improve Word2Vec and GloVe that cannot handle the problem of out of vocabulary (OOV). This research produces the best accuracy for each word embedding as follows, Word2Vec produces an accuracy of 73,15%, GloVe produces an accuracy of 60,10%, fast text produces an accuracy of 73,15%. The conclusion in this study is the best accuracy was obtained by Word2Vec and fast text. The fast text has the advantage of handling the problem of out of vocabulary (OOV), but in this study, it cannot improve the accuracy of word 2vec. This study has not been able to produce very good accuracy. This is because of the data used. In future works, to get even better results, it is expected to apply other deep learning methods, such as CNN, BiLSTM, etc. It is hoped that more data will be used in future studies.

How We Watch TV Tomorrow?

2018 ◽  
Vol 9 (4) ◽  
pp. 48-63
Author(s):  
Bu Zhong ◽  
Fan Yang
Keyword(s):  
Social Media ◽  
Tv Viewing ◽  
Age And Gender ◽  
The Social ◽  
Smart Tv ◽  
Media Habits ◽  
And Gender ◽  
Practical Implications ◽  
Significant Moderator ◽  
Better Than

Smart TV is so called largely due to its interactivity. Without the interactivity functions, smart TV can hardly provide new services beyond traditional TV. This research studies 283 viewers' perceptions toward four key interactivity functions of smart TV: the interaction between viewers and TV, between viewers and friends, between viewers and programming, and viewers' interaction with products. The findings show that the viewer's residence was a significant moderator in the preference for the interactivity functions. Viewers from developed regions liked the four functions better than those in underdeveloped regions. Social media habits and ICT power usage are positively associated with the preference, while need for cognition, age and gender had little effect. The findings can help understand the evolving viewing habits in the social media era, whose theoretical and practical implications should benefit TV makers and content producers to provide an interactive TV viewing experience.

scholarly journals Analisis Semiotika Pada Teks Al-Qur’an Tentang “Khamar” Dalam Pendekatan Semanalisis Hingga Intertekstualitas Julia Kristeva

2020 ◽  
Vol 22 (1) ◽  
pp. 49
Author(s):  
Muhammad Sakti Garwan
Keyword(s):  
Social Media ◽  
Social Problem ◽  
Ancient Greece ◽  
Science And Religion ◽  
Julia Kristeva ◽  
Social Conditions ◽  
The Social ◽  
The Right ◽  
Day By Day

Community problems that are increasing day by day, both in social conditions between people in real terms up to social media is a matter that must be seen in a good scientific perspective, so that the problem can be resolved properly according to the right position. This is what makes the importance of the role of science and religion in seeing this, especially in the matter of liquor or khamar, which is viewed in the perspective of science about literature or language, namely the science of semiotics that has developed since ancient Greece. This proves that, language is a very important thing for life, namely as a tool to communicate and serves as a tool to test existing arguments. In this study, the author tries to examine how the role of linguistics, or semiotics from a figure named Julia Kristeva, with a semanalysis approach to intertextuality, in answering the social problem of the law of liquor or khamar, which is referred to by the Qur'an.

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