Fundraising campaign content strategy for animal donation via Facebook: Case study of page Soi Dog - in Thai and page the Dodo by Plaifa Thanetnit, Supparerk Potipairatana

“…The Soi Dog page shared stories and fundraising content using images and videos with descriptive captions, posting 80–155 times monthly. The Dodo page featured heartwarming animal stories through videos and articles by international volunteers, posting 300–475 times monthly. …”
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Impact of mass media on citizens’confidence in the police: strategies for effective communication by O. V. Zueva

“…Content analysis of publications in digital media and mobile applications has made it possible to identify problematic aspects in the field of posted content. Focus group research has made it possible to note positive trends in the interaction of the police with traditional media.The Research results. …”
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Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

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Book public pages in Instagram by T. D. Rubanova

“…For this purpose, the number of posts, likes and comments for the period from 23.10.2019 to 22.11.2019 was calculated, as well as the engagement rate using the ER method. …”
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Educational content selection in human rights education at the early childhood education and care level by Anette Ringen Rosenberg

“…Less than half of the posts include a connection to human rights. Preliminary findings indicate that the four dimensions can aid in structuring a subject-didactic approach to HRE content. …”
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PERBANDINGAN METODE PROBLEM BASED LEARNING DENGAN METODE KONVENSIONAL TERHADAP KEMAMPUAN PEMECAHAN MASALAH DAN SELF EFFICACY MATEMATIS MAHASISWA PADA MATA KULIAH MATEMATIKA TEKNIK by Ellysa Kusuma Laksanawati, Rofiroh Rofiroh

“…Besar perbedaannya dari kedua kelas dapat dilihat pada hasil mean postes kelas ekperimen 75,23 dan mean postes kelas kontrol 54,32. …”
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Do Spatial Trajectories of Social Media Users Imply the Credibility of the Users’ Tweets During Earthquake Crisis Management? by Ayse Giz Gulnerman

“…Using earthquake-related tweets, we developed a machine learning-based classification model that categorises posts as directly relevant, indirectly relevant, or irrelevant. …”
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Abnormal Event Detection Method in Multimedia Sensor Networks by Qi Li, Xiaoming Liu, Xinyu Yang, Ting Li

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Non-local spatiotemporal fusion incorporating optical flow estimation and spatial-spectral mitigation-based residual by Yaxu Wang, Xiaobo Luo, Hongwei Ye

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InferNER: an attentive model leveraging the sentence-level information for Named Entity Recognition in Microblogs by Moemmur Shahzad, Ayesha Amin, Diego Esteves, Axel-Cyrille Ngonga Ngomo

“…We investigate the problem of named entity recognition in the user-generated text such as social media posts. This task is rendered particularly difficult by the restricted length and limited grammatical coherence of this data type. …”
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Who speaks and who is heard on Facebook? Political mobilization and engagement patterns of partisanship and gender in Switzerland’s direct democracy by Julian Maitra, Regula Hänggli

“…Using digital trace data from CrowdTangle, the analysis focuses on the posting frequency and received user interactions of 770 Swiss political actors’ Facebook pages. …”
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On Secrecy Performance of Mixed RF-FSO Systems by Hongjiang Lei, Zhijun Dai, Imran Shafique Ansari, Ki-Hong Park, Gaofeng Pan, Mohamed-Slim Alouini

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An Investigation of Suicidal Ideation from Social Media Using Machine Learning Approach by Soumyabrata Saha, Suparna Dasgupta, Adnan Anam, Rahul Saha, Sudarshan Nath, Surajit Dutta

“…It is crucial to create a machine learning model for detection of suicide thoughts by monitoring a user's social media posts to identify warning signs of mental health issues. …”
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Do Jointly Appointed Nursing and Midwifery Clinical Academics Provide Benefits to Patients, Individual Joint Appointees, Academic Institutions and Health and Social Care Organisati... by Prisca Kaunda, Hugo C. vanWoerden, Ben Fitzpatrick, Vivien Coates

“…Background Jointly appointed clinical academic posts for nurses and midwives are rare, making up less than 0.1% of the workforce in the UK. …”
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Enhancing Weibo Sentiment Analysis With Multi-Modal Learning: Integrating Text and Synthesized Images With Contrastive Learning by Chuyang Wang, Jessada Konpang, Adisorn Sirikham, Shasha Tian

“…Current sentiment analysis methods struggle with the unique challenges of Weibo posts, which often contain informal language, sarcasm, and lack of context, making it difficult to capture complex emotions. …”
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“You are doomed!" Crisis-specific and Dynamic Use of Fear Speech in Protest and Extremist Radical Social Movements by Simon Greipl, Julian Hohner, Heidi Schulze, Patrick Schwabl, Diana Rieger

“…Additionally, the relative amount of FS was found to increase with the overall posting frequency. This underscores FS's potential as an indicator for radicalization dynamics and crisis escalation. …”
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Assessment of patient satisfaction level in the State University of Haiti Hospital and responsible factors: a cross-sectional mixed-methods study protocol by Hugins Millien, Thaïmye Joseph

“…Findings will be published in a corresponding peer-reviewed journal, shared with hospital staff and students. Social media posts, blog posts and conference debates will also be considered.…”
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Methods of clinical assessment from the “Clinical Recommendations” resource of the Ministry of Healthcare of Russia: a systematic review by V. M. Vatolin, O. A. Sukhorukikh, Zh. A. Galeeva, D. V. Lukyantseva, O. O. Buzuverova, O. V. Kirsanova, E. M. Murtazina, D. G. Ilyukhin, L. S. Shubina

“…We analyzed the clinical guidelines developed by professional non-profit medical  organizations and posted on the information resource of the Ministry of Healthcare of the Russian Federation under the “Clinical Recommendations” category. …”
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Exploring Diagnostic Reliability of CBCT for Vertical Root Fractures: A Systematic Review and Meta-Analytical Approach by Luiz Carlos de Lima Dias-Junior, Diego Leonardo de Souza, Adriana Pinto Bezerra, Marcio Correa, Cleonice da Silveira Teixeira, Eduardo Antunes Bortoluzzi, Lucas da Fonseca Roberti Garcia

“…The presence of metal posts impaired both sensitivity and specificity. …”
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Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media by Andrew Larkin, Megan MacDonald, Dixie Jackson, Molly L. Kile, Perry Hystad

“…As part of the Advancing Science, Practice, Programming, and Policy in Research Translation for Children’s Environmental Health (ASP3IRE) center, machine learning, geographic information systems (GIS), and natural language processing to analyze more than 650 million posts related to children’s environmental health are being used. …”
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