0% Complete
Home
/
14th International Conference on Computer and Knowledge Engineering
Assessing Users' Influence on Respondents in Conversation Quality: A Quantitative Study on Reddit Based on the Cooperative Principle
Authors :
Afsaneh Habibi
1
Fattaneh Taghiyareh
2
1- Department of Electrical and Computer Engineering University of Tehran
2- Department of Electrical and Computer Engineering University of Tehran
Keywords :
social media،computer-mediated communication،conversation،cooperative principle
Abstract :
What makes a good conversation? The answer is complex and multifaceted. We propose a tool to automatically detect good conversations based on the Cooperative Principle criteria. While previous research has largely focused on how social media affordances impact conversation quality, we focus on the role of the user. Our aim is to understand how user adherence to these quality measures influences the responses they receive. Our data, collected from Reddit, indicates a weak to moderate correlation between a user's adherence to conversation quality measures (notably politeness) and the quality of responses they receive. This underscores the significant influence an individual user can have on the overall quality of social media interactions and highlights the potential for users to positively change the course of conversations.
Papers List
List of archived papers
Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models
Fatemeh Fouladi - Ali Rostami - Hedieh Sajedi
A large input-space-margin approach for adversarial training
Reihaneh Nikouei - Mohammad Taheri
Word-level Persian Lipreading Dataset
Javad Peymanfard - Ali Lashini - Samin Heydarian - Hossein Zeinali - Nasser Mozayani
Analyzing the Impact of COVID-19 on Economy from the Perspective of User’s Reviews
Fatemeh Salmani - Hamed Vahdat-Nejad - Hamideh Hajiabadi
MIPS-Core Application Specific Instruction-Set Processor for IDEA Cryptography − Comparison between Single-Cycle and Multi-Cycle Architectures
Ahmad Ahmadi - Reza Faghih Mirzaee
Classification of COVID-19 and Nodule in CT Images using Deep Convolutional Neural Network
Amirhossein Ghaemi - Seyyed Amir Mousavi mobarakeh - Habibollah Danyali - Kamran Kazemi
Pyramid Transformer for Traffic Sign Detection
Omid Nejati manzari - Amin Boudesh - Shahriar B. Shokouhi
Real-Time Vehicle Detection and Classification in UAV imagery Using Improved YOLOv5
Mohammad Hossein Hamzenejadi - Hadis Mohseni
Cross-project Defect Prediction with An Enhanced Transfer Boosting Algorithm
Nazgol Nikravesh - Mohammad Reza Keyvanpour
Density Estimation Helps Adversarial Robustness
Afsaneh Hasanebrahimi - Bahareh Kaviani Baghbaderani - Reshad Hosseini - Ahmad Kalhor
more
Samin Hamayesh - Version 42.2.1