Predicting Cyberbullying

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• Author : Christopher Paul Barlett
• Publisher : Academic Press
• Release Date : 2019-04-06
• Total pages : 172
• ISBN : 9780128166550
• File Size : 31,6 Mb
• Total Download : 175
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Download Predicting Cyberbullying in PDF, Epub, and Kindle

Predicting Cyberbullying: Research, Theory, and Intervention delves into the theoretical advances that have been made to predict cyberbullying perpetration. It examines myriad psychological- and communication-based theories, discusses the relevant research to support (or not) each theory, and elucidates the strengths and limitations of these theories. Moreover, the book differentiates cyberbullying from traditional bullying to expand on a theory that takes such differences into account to predict perpetration. In addition, it adapts interventions to address these nuanced theoretical advancements and concludes with an examination of validated psychological theories that can inform interventions and reduce cyberbullying. The book is an effective and concise reference for psychologists, school administrators, counselors and psychological researchers looking to understand theory and interventions for cyberbullies. Focuses on the cyberbully perpetrator Balances theory with interventional applications Identifies key risk factors in those who cyberbully Explores the scope of theoretically driven hypotheses specific to cyberbullying

• Author : Qing Li,Donna Cross,Peter K. Smith
• Publisher : John Wiley & Sons
• Release Date : 2012-02-20
• Total pages : 329
• ISBN : 9781444333763
• File Size : 52,6 Mb
• Total Download : 953
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Download Cyberbullying in the Global Playground in PDF, Epub, and Kindle

Cyberbullying in the Global Playground provides the first global, in-depth analysis of the emerging phenomenon of cyberbullying. Offers the first thorough comparative account of recent research into the emerging global phenomenon of cyberbullying Provides an international perspective on the prevalence and nature of cyberbullying Presents recent authoritative research within a critical perspective, drawing out theoretical and practical implications for policy and practice May be used to help design intervention, evaluation, and policy strategies for effective efforts to combat the international phenomenon of cyberbullying

• Author : Vivian Siahaan,Rismon Hasiholan Sianipar
• Publisher : BALIGE PUBLISHING
• Release Date : 2022-04-29
• Total pages : 979
• ISBN : 1230987654XX
• File Size : 30,7 Mb
• Total Download : 506
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Download 5 FIVE DATA SCIENCE PROJECTS FOR ANALYSIS, CLASSIFICATION, PREDICTION, AND SENTIMENT ANALYSIS WITH PYTHON GUI in PDF, Epub, and Kindle

PROJECT 1: SUPERMARKET SALES ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset used in this project consists of the growth of supermarkets with high market competitions in most populated cities. The dataset is one of the historical sales of supermarket company which has recorded in 3 different branches for 3 months data. Predictive data analytics methods are easy to apply with this dataset. Attribute information in the dataset are as follows: Invoice id: Computer generated sales slip invoice identification number; Branch: Branch of supercenter (3 branches are available identified by A, B and C); City: Location of supercenters; Customer type: Type of customers, recorded by Members for customers using member card and Normal for without member card; Gender: Gender type of customer; Product line: General item categorization groups - Electronic accessories, Fashion accessories, Food and beverages, Health and beauty, Home and lifestyle, Sports and travel; Unit price: Price of each product in $; Quantity: Number of products purchased by customer; Tax: 5% tax fee for customer buying; Total: Total price including tax; Date: Date of purchase (Record available from January 2019 to March 2019); Time: Purchase time (10am to 9pm); Payment: Payment used by customer for purchase (3 methods are available – Cash, Credit card and Ewallet); COGS: Cost of goods sold; Gross margin percentage: Gross margin percentage; Gross income: Gross income; and Rating: Customer stratification rating on their overall shopping experience (On a scale of 1 to 10). In this project, you will perform predicting rating using machine learning. The machine learning models used in this project to predict clusters as target variable are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, LGBM, Gradient Boosting, XGB, and MLP. Finally, you will plot boundary decision, distribution of features, feature importance, cross validation score, and predicted values versus true values, confusion matrix, learning curve, performance of the model, scalability of the model, training loss, and training accuracy. PROJECT 2: DETECTING CYBERBULLYING TWEETS USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI As social media usage becomes increasingly prevalent in every age group, a vast majority of citizens rely on this essential medium for day-to-day communication. Social media’s ubiquity means that cyberbullying can effectively impact anyone at any time or anywhere, and the relative anonymity of the internet makes such personal attacks more difficult to stop than traditional bullying. On April 15th, 2020, UNICEF issued a warning in response to the increased risk of cyberbullying during the COVID-19 pandemic due to widespread school closures, increased screen time, and decreased face-to-face social interaction. The statistics of cyberbullying are outright alarming: 36.5% of middle and high school students have felt cyberbullied and 87% have observed cyberbullying, with effects ranging from decreased academic performance to depression to suicidal thoughts. In light of all of this, this dataset contains more than 47000 tweets labelled according to the class of cyberbullying: Age; Ethnicity; Gender; Religion; Other type of cyberbullying; and Not cyberbullying. The data has been balanced in order to contain ~8000 of each class. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, LSTM, and CNN. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. PROJECT 3: HIGHER EDUCATION STUDENT ACADEMIC PERFORMANCE ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset used in this project was collected from the Faculty of Engineering and Faculty of Educational Sciences students in 2019. The purpose is to predict students' end-of-term performances using ML techniques. Attribute information in the dataset are as follows: Student ID; Student Age (1: 18-21, 2: 22-25, 3: above 26); Sex (1: female, 2: male); Graduated high-school type: (1: private, 2: state, 3: other); Scholarship type: (1: None, 2: 25%, 3: 50%, 4: 75%, 5: Full); Additional work: (1: Yes, 2: No); Regular artistic or sports activity: (1: Yes, 2: No); Do you have a partner: (1: Yes, 2: No); Total salary if available (1: USD 135-200, 2: USD 201-270, 3: USD 271-340, 4: USD 341-410, 5: above 410); Transportation to the university: (1: Bus, 2: Private car/taxi, 3: bicycle, 4: Other); Accommodation type in Cyprus: (1: rental, 2: dormitory, 3: with family, 4: Other); Mother's education: (1: primary school, 2: secondary school, 3: high school, 4: university, 5: MSc., 6: Ph.D.); Father's education: (1: primary school, 2: secondary school, 3: high school, 4: university, 5: MSc., 6: Ph.D.); Number of sisters/brothers (if available): (1: 1, 2:, 2, 3: 3, 4: 4, 5: 5 or above); Parental status: (1: married, 2: divorced, 3: died - one of them or both); Mother's occupation: (1: retired, 2: housewife, 3: government officer, 4: private sector employee, 5: self-employment, 6: other); Father's occupation: (1: retired, 2: government officer, 3: private sector employee, 4: self-employment, 5: other); Weekly study hours: (1: None, 2: <5 hours, 3: 6-10 hours, 4: 11-20 hours, 5: more than 20 hours); Reading frequency (non-scientific books/journals): (1: None, 2: Sometimes, 3: Often); Reading frequency (scientific books/journals): (1: None, 2: Sometimes, 3: Often); Attendance to the seminars/conferences related to the department: (1: Yes, 2: No); Impact of your projects/activities on your success: (1: positive, 2: negative, 3: neutral); Attendance to classes (1: always, 2: sometimes, 3: never); Preparation to midterm exams 1: (1: alone, 2: with friends, 3: not applicable); Preparation to midterm exams 2: (1: closest date to the exam, 2: regularly during the semester, 3: never); Taking notes in classes: (1: never, 2: sometimes, 3: always); Listening in classes: (1: never, 2: sometimes, 3: always); Discussion improves my interest and success in the course: (1: never, 2: sometimes, 3: always); Flip-classroom: (1: not useful, 2: useful, 3: not applicable); Cumulative grade point average in the last semester (/4.00): (1: <2.00, 2: 2.00-2.49, 3: 2.50-2.99, 4: 3.00-3.49, 5: above 3.49); Expected Cumulative grade point average in the graduation (/4.00): (1: <2.00, 2: 2.00-2.49, 3: 2.50-2.99, 4: 3.00-3.49, 5: above 3.49); Course ID; and OUTPUT: Grade (0: Fail, 1: DD, 2: DC, 3: CC, 4: CB, 5: BB, 6: BA, 7: AA). The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. PROJECT 4: COMPANY BANKRUPTCY ANALYSIS AND PREDICTION USING MACHINE LEARNING WITH PYTHON GUI The dataset was collected from the Taiwan Economic Journal for the years 1999 to 2009. Company bankruptcy was defined based on the business regulations of the Taiwan Stock Exchange. Attribute information in the dataset are as follows: Y - Bankrupt?: Class label; X1 - ROA(C) before interest and depreciation before interest: Return On Total Assets(C); X2 - ROA(A) before interest and % after tax: Return On Total Assets(A); X3 - ROA(B) before interest and depreciation after tax: Return On Total Assets(B); X4 - Operating Gross Margin: Gross Profit/Net Sales; X5 - Realized Sales Gross Margin: Realized Gross Profit/Net Sales; X6 - Operating Profit Rate: Operating Income/Net Sales; X7 - Pre-tax net Interest Rate: Pre-Tax Income/Net Sales; X8 - After-tax net Interest Rate: Net Income/Net Sales; X9 - Non-industry income and expenditure/revenue: Net Non-operating Income Ratio; X10 - Continuous interest rate (after tax): Net Income-Exclude Disposal Gain or Loss/Net Sales; X11 - Operating Expense Rate: Operating Expenses/Net Sales; X12 - Research and development expense rate: (Research and Development Expenses)/Net Sales X13 - Cash flow rate: Cash Flow from Operating/Current Liabilities; X14 - Interest-bearing debt interest rate: Interest-bearing Debt/Equity; X15 - Tax rate (A): Effective Tax Rate; X16 - Net Value Per Share (B): Book Value Per Share(B); X17 - Net Value Per Share (A): Book Value Per Share(A); X18 - Net Value Per Share (C): Book Value Per Share(C); X19 - Persistent EPS in the Last Four Seasons: EPS-Net Income; X20 - Cash Flow Per Share; X21 - Revenue Per Share (Yuan ¥): Sales Per Share; X22 - Operating Profit Per Share (Yuan ¥): Operating Income Per Share; X23 - Per Share Net profit before tax (Yuan ¥): Pretax Income Per Share; X24 - Realized Sales Gross Profit Growth Rate; X25 - Operating Profit Growth Rate: Operating Income Growth; X26 - After-tax Net Profit Growth Rate: Net Income Growth; X27 - Regular Net Profit Growth Rate: Continuing Operating Income after Tax Growth; X28 - Continuous Net Profit Growth Rate: Net Income-Excluding Disposal Gain or Loss Growth; X29 - Total Asset Growth Rate: Total Asset Growth; X30 - Net Value Growth Rate: Total Equity Growth; X31 - Total Asset Return Growth Rate Ratio: Return on Total Asset Growth; X32 - Cash Reinvestment %: Cash Reinvestment Ratio X33 - Current Ratio; X34 - Quick Ratio: Acid Test; X35 - Interest Expense Ratio: Interest Expenses/Total Revenue; X36 - Total debt/Total net worth: Total Liability/Equity Ratio; X37 - Debt ratio %: Liability/Total Assets; X38 - Net worth/Assets: Equity/Total Assets; X39 - Long-term fund suitability ratio (A): (Long-term Liability+Equity)/Fixed Assets; X40 - Borrowing dependency: Cost of Interest-bearing Debt; X41 - Contingent liabilities/Net worth: Contingent Liability/Equity; X42 - Operating profit/Paid-in capital: Operating Income/Capital; X43 - Net profit before tax/Paid-in capital: Pretax Income/Capital; X44 - Inventory and accounts receivable/Net value: (Inventory+Accounts Receivables)/Equity; X45 - Total Asset Turnover; X46 - Accounts Receivable Turnover; X47 - Average Collection Days: Days Receivable Outstanding; X48 - Inventory Turnover Rate (times); X49 - Fixed Assets Turnover Frequency; X50 - Net Worth Turnover Rate (times): Equity Turnover; X51 - Revenue per person: Sales Per Employee; X52 - Operating profit per person: Operation Income Per Employee; X53 - Allocation rate per person: Fixed Assets Per Employee; X54 - Working Capital to Total Assets; X55 - Quick Assets/Total Assets; X56 - Current Assets/Total Assets; X57 - Cash/Total Assets; X58 - Quick Assets/Current Liability; X59 - Cash/Current Liability; X60 - Current Liability to Assets; X61 - Operating Funds to Liability; X62 - Inventory/Working Capital; X63 - Inventory/Current Liability X64 - Current Liabilities/Liability; X65 - Working Capital/Equity; X66 - Current Liabilities/Equity; X67 - Long-term Liability to Current Assets; X68 - Retained Earnings to Total Assets; X69 - Total income/Total expense; X70 - Total expense/Assets; X71 - Current Asset Turnover Rate: Current Assets to Sales; X72 - Quick Asset Turnover Rate: Quick Assets to Sales; X73 - Working capitcal Turnover Rate: Working Capital to Sales; X74 - Cash Turnover Rate: Cash to Sales; X75 - Cash Flow to Sales; X76 - Fixed Assets to Assets; X77 - Current Liability to Liability; X78 - Current Liability to Equity; X79 - Equity to Long-term Liability; X80 - Cash Flow to Total Assets; X81 - Cash Flow to Liability; X82 - CFO to Assets; X83 - Cash Flow to Equity; X84 - Current Liability to Current Assets; X85 - Liability-Assets Flag: 1 if Total Liability exceeds Total Assets, 0 otherwise; X86 - Net Income to Total Assets; X87 - Total assets to GNP price; X88 - No-credit Interval; X89 - Gross Profit to Sales; X90 - Net Income to Stockholder's Equity; X91 - Liability to Equity; X92 - Degree of Financial Leverage (DFL); X93 - Interest Coverage Ratio (Interest expense to EBIT); X94 - Net Income Flag: 1 if Net Income is Negative for the last two years, 0 otherwise; and X95 - Equity to Liabilitys. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy. PROJECT 5: DATA SCIENCE FOR RAIN CLASSIFICATION AND PREDICTION WITH PYTHON GUI This dataset contains about 10 years of daily weather observations from many locations across Australia. RainTomorrow is the target variable to predict. You will determine rain or not in the next day. This column is Yes if the rain for that day was 1mm or more. Observations were drawn from numerous weather stations. The daily observations are available from http://www.bom.gov.au/climate/data. The dataset contains 23 attributes. Some of them are as follows: About some of them are: DATE - The date of observation; LOCATION - The common name of the location of the weather station; MINTEMP - The minimum temperature in degrees celsius; MAXTEMP - The maximum temperature in degrees celsius; RAINFALL - The amount of rainfall recorded for the day in mm; EVAPORATION - The so-called Class A pan evaporation (mm) in the 24 hours to 9am; SUNSHINE - The number of hours of bright sunshine in the day; WINDGUESTDIR - The direction of the strongest wind gust in the 24 hours to midnight; WINDGUESTSPEED- The speed (km/h) of the strongest wind gust in the 24 hours to midnight; and WINDDIR9AM - Direction of the wind at 9am. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, and XGB classifier. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy.

• Author : Ramos Salazar, Leslie
• Publisher : IGI Global
• Release Date : 2020-10-23
• Total pages : 717
• ISBN : 9781799849131
• File Size : 16,5 Mb
• Total Download : 941
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Download Handbook of Research on Cyberbullying and Online Harassment in the Workplace in PDF, Epub, and Kindle

Given users’ heavy reliance of modern communication technologies such as mobile and tablet devices, laptops, computers, and social media networks, workplace cyberbullying and online harassment have become escalating problems around the world. Organizations of all sizes and sectors (public and private) may encounter workplace cyberbullying within and outside the boundaries of physical offices. Workplace cyberbullying affects the entire company, as victims suffer from psychological trauma and mental health issues that can lead to anxiety and depression, which, in turn, can cause absenteeism, job turnover, and retaliation. Thus, businesses must develop effective strategies to prevent and resolve such issues from becoming too large to manage. The Handbook of Research on Cyberbullying and Online Harassment in the Workplace provides in-depth research that explores the theoretical and practical measures of managing bullying behaviors within an organization as well as the intervention strategies that should be employed. The book takes a look at bullying behavior across a variety of industries, including government and educational institutions, and examines social and legislative issues, policies and legal cases, the impact of online harassment and disruption of business processes and organizational culture, and prevention techniques. Featuring coverage on a broad range of topics such as sexual abuse and trolling, this book is ideally designed for business managers and executives, human resource managers, practitioners, policymakers, academicians, researchers, and students.

• Author : Vivian Siahaan,Rismon Hasiholan Sianipar
• Publisher : BALIGE PUBLISHING
• Release Date : 2022-04-19
• Total pages : 176
• ISBN : 1230987654XX
• File Size : 32,9 Mb
• Total Download : 431
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Download DETECTING CYBERBULLYING TWEETS USING MACHINE LEARNING AND DEEP LEARNING WITH PYTHON GUI in PDF, Epub, and Kindle

As social media usage becomes increasingly prevalent in every age group, a vast majority of citizens rely on this essential medium for day-to-day communication. Social media’s ubiquity means that cyberbullying can effectively impact anyone at any time or anywhere, and the relative anonymity of the internet makes such personal attacks more difficult to stop than traditional bullying. On April 15th, 2020, UNICEF issued a warning in response to the increased risk of cyberbullying during the COVID-19 pandemic due to widespread school closures, increased screen time, and decreased face-to-face social interaction. The statistics of cyberbullying are outright alarming: 36.5% of middle and high school students have felt cyberbullied and 87% have observed cyberbullying, with effects ranging from decreased academic performance to depression to suicidal thoughts. In light of all of this, this dataset contains more than 47000 tweets labelled according to the class of cyberbullying: Age; Ethnicity; Gender; Religion; Other type of cyberbullying; and Not cyberbullying. The data has been balanced in order to contain ~8000 of each class. The models used in this project are K-Nearest Neighbor, Random Forest, Naive Bayes, Logistic Regression, Decision Tree, Support Vector Machine, Adaboost, LGBM classifier, Gradient Boosting, XGB classifier, LSTM, and CNN. Three feature scaling used in machine learning are raw, minmax scaler, and standard scaler. Finally, you will develop a GUI using PyQt5 to plot cross validation score, predicted values versus true values, confusion matrix, learning curve, decision boundaries, performance of the model, scalability of the model, training loss, and training accuracy.

• Author : Helen Cowie,Carrie-Anne Myers
• Publisher : Taylor & Francis
• Release Date : 2023-05-02
• Total pages : 233
• ISBN : 9781000868487
• File Size : 40,5 Mb
• Total Download : 796
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Download Cyberbullying and Online Harms in PDF, Epub, and Kindle

Cyberbullying and Online Harms identifies online harms and their impact on young people, from communities to campuses, exploring current and future interventions to reduce and prevent online harassment and aggression. This important resource brings together eminent international researchers whose work shines a light on social issues such as bullying/cyberbullying, racism, homophobia, hate crime, and social exclusion. The text collates into one volume current knowledge and evidence of cyberbullying and its effect on young people, facilitating action to protect victims, challenge perpetrators and develop policies and practices to change cultures that are discriminatory and divisive. It also provides a space where those who have suffered online harms and who have often been silenced in the past may have a voice in telling their experiences and recounting interventions and policies that helped them to create safer spaces in which to live in their community, study in their educational institutions and socialise with their peer group. This is essential reading for researchers, academics, undergraduates and postgraduates in sociology, psychology, criminology, media and communication studies, as well as practitioners and policymakers in psychology, education, sociology, criminology, psychiatry, counselling and psychotherapy, and anyone concerned with the issue of bullying, cyberbullying and online harms among young people in higher education.

• Author : Michelle F. Wright,Lawrence B. Schiamberg
• Publisher : Academic Press
• Release Date : 2020-11-19
• Total pages : 472
• ISBN : 9780128175002
• File Size : 37,6 Mb
• Total Download : 162
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Download Child and Adolescent Online Risk Exposure in PDF, Epub, and Kindle

Child and Adolescent Online Risk Exposure: An Ecological Perspective focuses on online risks and outcomes for children and adolescents using an ecological perspective (i.e., the intersection of individuals in relevant contexts) for a better understanding of risks associated with the youth online experience. The book examines the specific consequences of online risks for youth and demonstrates how to develop effective and sensitive interventions and policies. Sections discuss why online risks are important, individual and contextual factors, different types of risk, online risks among special populations, such as LGBT youth, physically or intellectually disabled youth, and ethnic and religious minorities, and intervention efforts. Includes theoretical considerations and the prevalence of online risks Covers policy recommendations for reducing online risks Explores the concept of digital citizenship Examines online risks, including addictive internet use, sexting, cyberbullying, stalking and personal data misuse

• Author : Lucy R. Betts
• Publisher : Springer
• Release Date : 2016-08-12
• Total pages : 146
• ISBN : 9781137500090
• File Size : 11,5 Mb
• Total Download : 421
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Download Cyberbullying in PDF, Epub, and Kindle

Drawing on research evidence and media coverage, this book explores a number of key debates surrounding cyberbullying. The increasing digitization of society affords many benefits; however, some of these benefits are offset by more adverse consequences. Cyberbullying represents one of the adverse consequences of technology use, which has become a topic of increasing societal concern. Betts adopts a critical stance to exploring issues around the definition of cyberbullying, the unique nature of cyberbullying compared to other forms of bullying, the variation in the reported prevalence rates of cyberbullying, the consequences of involvement in cyberbullying, and the steps that can be taken to tackle cyberbullying.

• Author : G. David Garson
• Publisher : Routledge
• Release Date : 2021-11-30
• Total pages : 704
• ISBN : 9781000467086
• File Size : 49,7 Mb
• Total Download : 286
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Download Data Analytics for the Social Sciences in PDF, Epub, and Kindle

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

• Author : Management Association, Information Resources
• Publisher : IGI Global
• Release Date : 2022-03-04
• Total pages : 1658
• ISBN : 9781668455951
• File Size : 30,7 Mb
• Total Download : 973
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Download Research Anthology on Combating Cyber-Aggression and Online Negativity in PDF, Epub, and Kindle

The advent of the internet and social media were landmarks in furthering communication technologies. Through social media websites, families, friends, and communities could connect in a way never seen. Though these websites are helpful tools in facilitating positive interaction, they have also allowed users to verbally attack and bully each other with no fear of repercussion. Moreover, online predators will often use these tools to harass, stalk, and in some cases even lure their victims. Particularly rampant among adolescents, these harmful actions must be mitigated in order to safeguard the mental health and physical safety of users. The Research Anthology on Combating Cyber-Aggression and Online Negativity discusses the research behind cyber-aggression and cyber bullying, as well as methods to predict and prevent online negativity. It presents policy, technological, and human intervention practices against cyber-aggression. Covering topics such as media literacy, demographic variables, and workplace cyberbullying, this major reference work is a critical resource for students and educators of higher education, libraries, social media administrators, government organizations, K-12 teachers, computer scientists, sociologists, psychologists, human resource managers, researchers, and academicians.

• Author : Peter K. Smith,Sheri Bauman,Dennis Wong
• Publisher : MDPI
• Release Date : 2019-08-02
• Total pages : 216
• ISBN : 9783039213597
• File Size : 27,7 Mb
• Total Download : 384
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Download Interventions to Reduce Bullying and Cyberbullying in PDF, Epub, and Kindle

This book is a printed edition of the Special Issue Interventions to Reduce Bullying and Cyberbullying that was published in IJERPH

• Author : Hamid Jahankhani
• Publisher : Springer
• Release Date : 2018-11-27
• Total pages : 357
• ISBN : 9783319971810
• File Size : 55,8 Mb
• Total Download : 603
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Download Cyber Criminology in PDF, Epub, and Kindle

This book provides a comprehensive overview of the current and emerging challenges of cyber criminology, victimization and profiling. It is a compilation of the outcomes of the collaboration between researchers and practitioners in the cyber criminology field, IT law and security field. As Governments, corporations, security firms, and individuals look to tomorrow’s cyber security challenges, this book provides a reference point for experts and forward-thinking analysts at a time when the debate over how we plan for the cyber-security of the future has become a major concern. Many criminological perspectives define crime in terms of social, cultural and material characteristics, and view crimes as taking place at a specific geographic location. This definition has allowed crime to be characterised, and crime prevention, mapping and measurement methods to be tailored to specific target audiences. However, this characterisation cannot be carried over to cybercrime, because the environment in which such crime is committed cannot be pinpointed to a geographical location, or distinctive social or cultural groups. Due to the rapid changes in technology, cyber criminals’ behaviour has become dynamic, making it necessary to reclassify the typology being currently used. Essentially, cyber criminals’ behaviour is evolving over time as they learn from their actions and others’ experiences, and enhance their skills. The offender signature, which is a repetitive ritualistic behaviour that offenders often display at the crime scene, provides law enforcement agencies an appropriate profiling tool and offers investigators the opportunity to understand the motivations that perpetrate such crimes. This has helped researchers classify the type of perpetrator being sought. This book offers readers insights into the psychology of cyber criminals, and understanding and analysing their motives and the methodologies they adopt. With an understanding of these motives, researchers, governments and practitioners can take effective measures to tackle cybercrime and reduce victimization.

• Author : Vassiliki Deliyianni
• Publisher : Cambridge Scholars Publishing
• Release Date : 2014-06-02
• Total pages : 370
• ISBN : 9781443860635
• File Size : 18,5 Mb
• Total Download : 750
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Download Changing Landscapes for Childhood and Youth in Europe in PDF, Epub, and Kindle

Contemporary social transformations, characterised by multi-dimensional globalisation and technological change, have lent new impetus to the emergence of internationally oriented and interdisciplinary childhood and youth studies. Analysis of sharpened polarisations of chances and risks within and between generations in specific life circumstances meets up with the re-conceptualisation of childhood and youth as social constructions within the life-course. As such, insulated national discourses are no longer an adequate framework to address such issues: economic and cultural globalisation processes exert dual and reciprocal influences, restructuring societies and identities from within and without. This collection offers a three-fold thematic focus: on the social construction of the life-course, privileging gendered and family transitions and transformations; on the contours of (not) belonging, in particular bringing migration and poverty into the spotlight; and on the potential of virtual worlds for creating and enabling new positive and negative forms of individual, social and political action on the part of young people. This collection thus offers a particular snapshot of the current landscape of childhood and youth studies, and it provides a set of exemplars from diverse national contexts. Each chapter can stand for itself – but the contributions are ordered thematically, not according to the corner of the world from which they derive. As the introductory chapter explores, the intention is – via a loose vectoring of theme and context – to encourage multiple opportunities for reflection on relations between the specificities and commonalities of children’s and young people’s lives today. This volume joins the growing library of scholarly resources for international and interdisciplinary childhood and youth studies; it brings together well-established and young scholars writing from an unusual range of national and cultural contexts. The collection will be of interest not simply for specialist researchers and those in related fields, but equally as a teaching and learning resource for higher education professionals and students in social sciences and education, including courses that link theory and research with policy and practice.

• Author : Eva M. Romera,Rosario Ortega-Ruiz,Grace Skrzypiec,Rita Zukauskiene
• Publisher : Frontiers Media SA
• Release Date : 2020-05-05
• Total pages : 210
• ISBN : 9782889633449
• File Size : 21,9 Mb
• Total Download : 843
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Download Analysing Psychosocial and Contextual Factors Underpinning Bullying and Cyberbullying in PDF, Epub, and Kindle

PDF book entitled Analysing Psychosocial and Contextual Factors Underpinning Bullying and Cyberbullying written by Eva M. Romera,Rosario Ortega-Ruiz,Grace Skrzypiec,Rita Zukauskiene and published by Frontiers Media SA which was released on 2020-05-05 with total hardcover pages 210, the book become popular and critical acclaim.

• Author : Fenwick W. English
• Publisher : Springer Nature
• Release Date : 2022-10-13
• Total pages : 1963
• ISBN : 9783030990978
• File Size : 15,8 Mb
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Download The Palgrave Handbook of Educational Leadership and Management Discourse in PDF, Epub, and Kindle

This Handbook explores the discourse within the field of educational leadership and management. It provides a clear analysis of the current field as well as older foundational ideas and newer concepts which are beginning to permeate the discussion. The field of educational leadership and management has long acknowledged that educational contexts include a variety of leaders beyond school principals and other school officials such as informal and middle level leaders. By looking at the knowledge dynamic rather than a static knowledge base , this Handbook allows research to be presented in its multidimensional, evolving reality.

• Author : Iratxe Redondo,Juan Manuel Machimbarrena,Joana Jaureguizar,Sebastian Wachs
• Publisher : Frontiers Media SA
• Release Date : 2023-02-17
• Total pages : 226
• ISBN : 9782832515112
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Download Risks of “Cyber-relationships” in Adolescents and Young People in PDF, Epub, and Kindle

PDF book entitled Risks of “Cyber-relationships” in Adolescents and Young People written by Iratxe Redondo,Juan Manuel Machimbarrena,Joana Jaureguizar,Sebastian Wachs and published by Frontiers Media SA which was released on 2023-02-17 with total hardcover pages 226, the book become popular and critical acclaim.

• Author : V. Suma,Joy Iong-Zong Chen,Zubair Baig,Haoxiang Wang
• Publisher : Springer Nature
• Release Date : 2021-06-07
• Total pages : 995
• ISBN : 9789811613951
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Download Inventive Systems and Control in PDF, Epub, and Kindle

This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control.

• Author : Barney Warf
• Publisher : SAGE
• Release Date : 2018-05-15
• Total pages : 1120
• ISBN : 9781526450432
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Download The SAGE Encyclopedia of the Internet in PDF, Epub, and Kindle

The Internet needs no introduction, and its significance today can hardly be exaggerated. Today, more people are more connected technologically to one another than at any other time in human existence. For a large share of the world’s people, the Internet, text messaging, and various other forms of digital social media such as Facebook have become thoroughly woven into the routines and rhythms of daily life. The Internet has transformed how we seek information, communicate, entertain ourselves, find partners, and, increasingly, it shapes our notions of identity and community. The SAGE Encyclopedia of the Internet addresses the many related topics pertaining to cyberspace, email, the World Wide Web, and social media. Entries will range from popular topics such as Alibaba and YouTube to important current controversies such as Net neutrality and cyberterrorism. The goal of the encyclopedia is to provide the most comprehensive collection of authoritative entries on the Internet available, written in a style accessible to academic and non-academic audiences alike.

• Author : Suresh Chandra Satapathy,Vikrant Bhateja,M. Ramakrishna Murty,Nguyen Gia Nhu,Jayasri Kotti
• Publisher : Springer Nature
• Release Date : 2020-10-03
• Total pages : 773
• ISBN : 9789811553974
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Download Communication Software and Networks in PDF, Epub, and Kindle

This book highlights a collection of high-quality peer-reviewed research papers presented at the Sixth International Conference on Information System Design and Intelligent Applications (INDIA 2019), held at Lendi Institute of Engineering & Technology, Vizianagaram, Andhra Pradesh, India, from 1 to 2 November 2019. It covers a wide range of topics in computer science and information technology, from wireless networks, social networks, wireless sensor networks, information and network security, to web security, Internet of Things, bioinformatics, geoinformatics and computer networks.

• Author : G. Ranganathan,Xavier Fernando,Fuqian Shi,Youssouf El Allioui
• Publisher : Springer Nature
• Release Date : 2021-10-25
• Total pages : 944
• ISBN : 9789811653018
• File Size : 14,7 Mb
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Download Soft Computing for Security Applications in PDF, Epub, and Kindle

This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2021), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during June 2021. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.

• Author : Sar?, Gül?ah
• Publisher : IGI Global
• Release Date : 2022-08-19
• Total pages : 634
• ISBN : 9781668454275
• File Size : 22,7 Mb
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Download Handbook of Research on Bullying in Media and Beyond in PDF, Epub, and Kindle

Bullying has been an issue for generations across fields and industries and can affect children as well as adults. With the rise of social media in recent years, bullying has evolved to include new forms such as cyberbullying and peer bullying. In the past, victims were able to escape their bullies in safe places, such as their homes. Nowadays, with technology keeping society constantly connected, bullies are able to exert their influence at all times. This is taking a far greater mental toll on bullied adults and children leading to burnout in the workplace, stress, anxiety, depression, and more. To understand and develop possible solutions to prevent bullying, further study is required. The Handbook of Research on Bullying in Media and Beyond considers the various forms of bullying and analyzes their representation in the media. The book also discusses the evolution of bullying throughout the years and how media and technology have played a key role in the changing landscape. Covering topics such as body image, peer bullying, social media, and violence, this major reference work is ideal for policymakers, computer scientists, psychologists, counselors, researchers, academicians, scholars, practitioners, instructors, and students.