Reviewerly/exHarmony huggingface dataset:
Towards Addressing Identity Deception in Social Media using Bangla Text-Based Gender Identification

Gender identification from social media content can play a crucial role in detecting and mitigating the risks posed by counterfeit accounts. Authentic gender representation can foster a safer and more diverse online environment. While research has been conducted on gender identification in languages such as English, Russian, and Arabic, there remains a gap in studies targeting Bangla and its related languages. This paper introduces a stylometric feature approach to discern the gender of authors from Bangla texts. Utilizing a dataset of 5,000 posts sourced from various Facebook groups, we trained seven traditional machine learning models. Among these, the Random Forest (RF) model notably excelled, achieving an accuracy of 73.37% and an F1-Score of 79.25%, thus setting a promising benchmark in gender identification from Bangla texts.
A generalized solution to verify authorship and detect style change in multi-authored documents

Identifying changes in style can be used to detect multi-authored social media accounts, plagiarism, compromised accounts, and author contributions in long documents. We propose an approach to recognize changes in authorship using large language models. Our approach leverages sentence-level contextual embeddings and semantic relationships. First we expand the training set by adding adversarial examples to the minority class [5], [13], [17]. Then we fine-tune a sequence classification transformer model to detect style change. Our approach outperforms all baselines of PAN21 with macro F1-scores of 0.80, 0.74, and 0.70 for detecting style changepoint between paragraphs, closed-set author ID per paragraph, and style changepoint between sentences, respectively. Our approach also performs better than the leading competitors in PAN22. Also, we achieved a five percent improvement in macro F1-score (0.78) on the newly introduced DarkReddit+ dataset for authorship verification.
Hypergraph Text Classification for Mental Health Misleading Advice

This paper introduces HyperMAD, a novel Hypergraph Convolutional Network model designed for the multiclass classification of mental health advice in Arabic tweets. The model distinguishes between misleading and valid advice, further categorizing each tweet into specific classes of advice. HyperMAD leverages high-order relations between words in short texts, captured through the definition of four types of hyperedges that represent local and global contexts as well as semantic similarity. Extensive experiments demonstrate the effectiveness of HyperMAD, with results outperforming those from existing baselines. The study also includes an ablation study to investigate the significance and contribution of each hyperedge type. The paper presents a case study analyzing the accuracy and types of Arabic mental health advice on Twitter, revealing that about 9% of the advice in response to mental health expressions on Twitter was accurate in general. The paper concludes with the hope that the application of HyperMAD can be utilized in flagging misleading responses on social media, providing the correct resources for those who choose to share their mental health struggles online.
Social network mining and analytics for quantitative patterns

Frequent pattern mining has gained popularity in the realm of knowledge discovery and big data analytics as it identifies sets of items that frequently co-occur (e.g., popular merchandise items or social events). In general, frequent pattern mining can be broadly classified into two categories: (i) transaction-centric algorithms that mines frequent patterns horizontally and (ii) item-centric mining algorithms that mines frequent patterns vertically. Irrespective of their categories, traditional frequent pattern mining algorithms aim to find Boolean frequent patterns, revealing whether some specific items are present in (or absent from) the discovered patterns. In the context of social network mining and analytics, Boolean frequent pattern algorithms can help reveal whether a social entity follows another in a network or on a social networking site. However, in numerous real-life applications, quantities of items within patterns become essential. For example, the quantity of followed items (e.g., like posts) can significantly influence the social interactions between entities in a network. In this paper, we present a social network mining and analytics algorithm---called QSN---for discovering quantitative frequent patterns from social networks. The algorithm represents the big data as a collection of item-centric bitmaps, each capturing the absence or presence of a transaction containing the item, along with the quantity of that item in each transaction. Subsequently, it vertically mines quantitative frequent patterns, strategically avoiding the generation of an excessive number of redundant candidate patterns, thereby accelerating the mining process. Results of our evaluation demonstrate the superiority of our QSN algorithm over the existing horizontal quantitative frequent pattern algorithm called MQA-M, highlighting its efficacy in social network mining and analytics.
Photozilla: An Image Dataset of Photography Styles and its Application to Visual Embedding and Style Detection

The widespread sharing of digital photography and images have led to the rapid development of various vision-related applications, such as photography style detection. Towards this effort, we introduce a photography style dataset termed Photozilla, which comprises over 990k images belonging to 10 different photographic styles. We used Photozilla to train 3 classification models for categorizing images into the relevant style and achieve an accuracy of ~96%. To better detect new photography styles that are constantly emerging, we also present a Siamese-based network that uses the trained classification models as the base architecture to adapt and classify unseen styles with only 25 training samples. Experiment results show an accuracy of over 68% in terms of identifying 10 additional distinct categories of photography styles. This dataset can be found at https://trisha025.github.io/Photozilla/.
Are Sounds Events? Materiality in Auditory Perception

Whilst arguing for sounds as repeatable objects does not seem suitable to our auditory experience, considering them as events can then help us understand some of their main features. In this sense, sounds are events happening to material objects; they have a beginning and an end; they are ephemeral entities that we cannot grasp as ordinary objects. Nevertheless, supporters of event theory usually focus on the autonomous status that sounds manifest from the things in the world. Conversely, when we hear sounds, we hear what and where they are sounding even in those theories that I will call detached-sound theories; in hearing them we hear how different materials create different sounds. Within the different positions of the event theory to pure-event or acousmatic proposal, the importance and role that the material has in the creation of diverse sounds does not always seem to be recognized. In this paper, I therefore aim to show how the materiality of resonating bodies and objects is given in all forms of auditory experience, not until analyzed the differences between object and event accounts in the philosophy of sound.
Towards an adaptive algorithms selection on predicting the update interval for social media feeds

Efficiently synchronizing data with external sources, such as social media feeds, while minimizing well-timed requests is a challenge in various domains. This research investigates prediction algorithms for determining appropriate update intervals for Facebook and Twitter feeds, considering metrics such as the delay (time between a post's publication and retrieval) and requests per post. Due to variations in update intervals, different algorithms yield diverse results. Selecting the most suitable algorithm for each feed is a time-consuming but crucial task for achieving optimal resource usage. We propose three strategies for algorithm selection: baseline (using a single algorithm per feed), optimum (calculating the best algorithm for each feed), and classification (identifying algorithms through classification). Real-world data from Facebook and Twitter are used to evaluate the strategies, comprehensively assessing their strengths and weaknesses. Findings demonstrate that the strategy optimum identifies the best algorithms, while the strategy classification selects fairly good algorithms at significantly reduced computational effort.
Harmful Communication: Detection of Toxic Language and Threats on Swedish

Harmful communication, such as toxic language and threats directed toward individuals or groups, is a common problem on most social media platforms and online spaces. While several approaches exist for detecting toxic language and threats in English, few attempts have detected such communication in Swedish. Thus, we used transfer learning and BERT to train two machine learning models: one that detects toxic language and one that detects threats in Swedish. We also examined the intersection between toxicity and threat. The models are trained on data from several different sources, with authentic social media posts and data translated from English. Our models perform well on test data with an F1-score above 0.94 for detecting toxic language and 0.86 for detecting threats. However, the models' performance decreases significantly when they are applied to new unseen social media data. Examining the intersection between toxic language and threats, we found that 20% of the threats on social media are not toxic, which means that they would not be detected using only methods for detecting toxic language. Our finding highlights the difficulties with harmful language and the need to use different methods to detect different kinds of harmful language.
Media Learning-Based Multimedia for Eye Studying Multimedia

Study This is a study development media learning That aims To produce media learning eye studying Multimedia Which is expected can help in the process of Study teaching. Research This is a study development of the Multimedia Development Life Cycle (MDLC). In the method, 6 (six) stages are (1) Concept, (2) design, (3) Obtaining Content Material, (4) Assembly, (5), Testing, and (6) Distribution. On stage In this testing or testing phase, there are four forms of testing, namely Developer Tests, Expert Media, Expert Material, and End-user Tests. From study obtained good results, and from these results, the research drew conclusions that media applications learning multimedia.
Effective Strategies using Digital Literacy for Empowering Critical Thinking in Higher Education

In the digital era, digital literacy skills have become important in equipping students with the skills to participate actively in an increasingly connected and complex society. Likewise, critical thinking skills are essential in helping students develop deep understanding, good analysis, and evaluation of the information they encounter. This study aims to investigate effective strategies for using digital literacy to empower critical thinking skills in higher education. This research will adopt a qualitative approach using the case study method in several higher education institutions. Data will be collected through in-depth interviews, observation, and document analysis related to digital literacy strategies in the learning environment. Next, the data will be analyzed using a content analysis approach to identify which strategies most effectively empower students' critical thinking skills. It is hoped that the results of this study will provide in-depth insight into how digital literacy can be properly integrated into the higher education curriculum to stimulate students' critical thinking skills. The implication of this research is to provide practical guidance to educators, lecturers, and decision-makers in higher education institutions to design learning strategies that support the development of digital literacy and critical thinking. In addition, this research can also contribute to further research in the field of digital literacy and higher education. With a stronger focus on incorporating digital technologies in higher education, it is hoped that this research will provide valuable directions for the development of relevant and innovative curricula, which in turn will help produce graduates who are not only technically proficient but also able to think critically in facing complex modern world challenges.
Implementation of School Management Information Systems at Vocational School State I Tomohon

This research discusses the implementation of the School Management Information System (SIMS) at SMK Negeri 1 Tomohon using the Rapid Application Development (RAD) method. School management, as a process of planning, organizing, directing, and controlling, is carried out by the school principal and his staff to achieve educational goals. The main goal of school management is to create an effective and efficient learning environment. Information systems, as entities with human, hardware, software, procedures, and data components, aim to collect, store, process, manage, and convey relevant information. SMK Negeri 1 Tomohon, as a vocational school in North Sulawesi, faces management challenges due to the use of conventional systems. Processes such as recording grades, registering students, compiling schedules, and collecting data on school fee payments often take time and are difficult. Therefore, this research is focused on implementing a School Management Information System using the programming languages PHP, HTML, CSS, and MySQL, with users consisting of Admin, Teachers, and Students, and using the RAD method. This research identifies problems in data management and school administration which are still manual, resulting in inefficiencies and potential errors. SIMS succeeded in making a positive impact with a structured interface, allowing easy access to information on grades, schedules, and learning activities. SIMS also facilitates systematic monitoring of student and teacher performance. This research concludes that SIMS can be an effective solution to support educational management at SMK Negeri 1 Tomohon with the potential for wider application in other school environments.
The Influence of The Project-Based Learning Model on the Poetry Writing Skills of Class V Students of Pineleng State Elementary School

This research aims to improve poetry writing skills using the Project-based Learning Model for Class V Students of Pineleng State Elementary School. This research method uses quantitative research with the type of research being experimental research. This research was carried out to improve poetry writing skills using the Project Based Learning Model. The results of this research show that there is an influence of the use of project-based learning on learning outcomes for poetry writing skills, in line with the results of observations made. Based on the results of observations, there were changes in students where at the beginning of learning activities there were several students who were doing other activities or acting indifferent during the learning process. Observation results show that there are a large number of students who answer when asked questions and students who volunteer to work on questions on the blackboard. Students also begin to be active and confident in responding to answers from other students so that other students are also motivated to follow the lesson.
A Cyber Security and Digital Transactions to Educated the Micro, Small and Medium Business Community

The rapid growth in the digital economy has brought countless benefits, especially in the micro, small, and medium enterprise (MSME) community. However, along with these opportunities, serious threats also emerge in the form of increasingly sophisticated cybercrime. This article aims to explain the important role of cyber security in digital transactions and how it can be used as an educational tool for the MSME community. The importance of understanding cyber threats and cyber security practices in a rapidly changing digital era cannot be underestimated. This article discusses the various types of cyber threats that MSMEs may face, such as phishing, malware, and ransomware attacks, as well as the financial and reputational impact these attacks can have. Additionally, this article highlights the cyber security principles that MSMEs must follow to protect their data and digital transactions. Apart from explaining threats, this article also promotes the role of education in increasing MSME awareness and understanding of cyber security. We present practical recommendations on how MSMEs can educate themselves and their team members on cybersecurity best practices. Additionally, this article discusses available resources, such as online training and security tools that can help MSMEs protect their businesses from cyber threats. With a better understanding of cyber security and best practices in digital transactions, the MSME community can reduce the risk of data and financial loss, and build a stronger foundation for sustainable growth in the digital economy era. This article provides useful guidance for the MSME community looking to strengthen their defenses against cyber threats and harness the unlimited potential of secure digital transactions.
Design and Implementation of Web-Based Archive Management Information System

The purpose of this research is to create an archive management information system. Most of the study programs within the University have not used a web-based archive management information system, even though this is a supporting factor in college and university accreditation. The research method used is the prototype development method. In this method there are 4 (four) stages, namely: (1) Communication, (2) Quick Plan and Modeling Quick Design, (3) Construction Of Prototype, (4) Deployment Delivery &amp; Feedback. At the Deployment Delivery &amp; Feedback stage, the researcher uses a testing method with a black-box testing approach. In this black box testing phase, there are three testing processes, namely (1) Incorrect functions, both input and output, (2) Interface errors, (3) Errors in data structure or database access. From the research conducted to obtain good results and from these results the researchers concluded that the web-based archive management information system is in accordance with the research objectives and is suitable for use in the data archiving process
Developing Instructional Media for Vocational School Students

Technology in the field of education can now be utilized with the aim of solving various existing problems, including students' learning problems at school. The aim of this research is to develop interactive learning media in network service technology subjects at Christian Vocational School 1 Tomohon as a tool in the learning process. The development method used is the Multimedia Development Life Cycle (MDLC) method. This development method consists of 6 stages, namely: (1) Concept, (2) Design, (3) Material Collecting, (4) Assembly, (5) Testing, (6) Distribution. This learning media testing includes 3 tests, namely compatibility testing by media experts, material suitability testing by material experts, and usability testing by users. Making this learning media itself uses the Adobe Animate application. From the tests that have been carried out, the results show that interactive learning media in the network service technology subject at Christian Vocational School 1 Tomohon has no problems and is suitable for use as a tool for students and teachers in the learning process.
Web-Based Academic Information Systems in Vocational School

An academic information system is an application that can facilitate to processing of data and information related to academic problems. Currently, SMK Negeri 1 Tondano as one of the vocational schools in North Sulawesi still uses manual methods in processing the data and information needs, so it feels less effective and efficient. This causes the data process to not be integrated properly, and it takes a long time to process data or information. This research was conducted to develop a web-based academic information system at SMK Negeri 1 Tondano. Where this information system is expected to be able to help the data and information processing process. In developing the system to be built, the research method used is the prototype development method and Unified Modeling Language (UML) modeling to simplify the design of the system to be built. Based on the results of system testing using black-box testing, it is stated that the system can run as well as expected.
Aspects of Leadership in The Implementation of IT Infrastructure Library Domain Service Strategy at University

Implementation of ITIL (Information Technology Infrastructure Library) in institutions' education tall become more important for increasing the quality service of information technology. However, ITIL implementation requires a role important from leadership to ensure its success. Study This aims to analyze the role of leadership in the implementation of ITIL Service Strategy in high-education institutions. This study uses a method descriptive with do survey of IT staff at several universities. Data analyzed use the technique of qualitative and its results show that leadership owns an influence and positive significance in the implementation of ITIL Service Strategy in higher education institutions. this article gives an important view for university leadership to increase the quality service of information technology and ensure the successful implementation of the ITIL Service Strategy in institutions. This Study has implications for the organization in framework reach objective strategic in management service of information technology and ensure that ITIL framework can be used with more effective and efficient.
Development of Computer Network Security Management at North Tabukan 1 State Vocational School

The development of the internet at this time makes all companies, especially SMKN 1 Tabukan Utara, able to utilize internet technology in supporting computer-based information systems. For this place to run its business properly, it must be supported by an information system and supported by a good computer network infrastructure. Computer network infrastructure in the SMKN 1 Tabukan Utara still has several disadvantages such as the absence of website blocking, login authentication, and regular bandwidth distribution. To overcome these problems, it is necessary to design the network properly, as for the methods used in designing this network using the Network Development Life Cycle (NDLC). This method can develop existing competition through several stages of the process, namely analysis, design, prototype simulation, implementation, monitoring, and management. The results of this study are in the form of a home computer network SMKN 1 Tabukan Utara that implements Captive Portal, Virtual Lan, Firewall Filtering, L7 protocol, and Bandwidth Management.