دوره 18، شماره 3 - ( 10-1400 )                   جلد 18 شماره 3 صفحات 64-45 | برگشت به فهرست نسخه ها

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Lotfi S, Mirzarezaee M, Hosseinzadeh M, Seydi V. Analysis of Structural Features in Rumor Conversations Detection in Twitter. JSDP. 2021; 18 (3) :45-64
URL: http://jsdp.rcisp.ac.ir/article-1-1130-fa.html
لطفی سروه، میرزارضایی میترا، حسین زاده مهدی، صیدی وحید. آنالیز و بررسی ویژگی‌های ساختاری در تشخیص مکالمه‌های شایعه توییتر. پردازش علائم و داده‌ها. 1400; 18 (3) :64-45

URL: http://jsdp.rcisp.ac.ir/article-1-1130-fa.html


دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران
چکیده:   (398 مشاهده)
توییتر یکی از محبوب‌ترین و مشهورترین شبکه‌های اجتماعی برخط برای گسترش اطلاعات است که در عین قابل ‌اعتماد‌بودن، می‌تواند به‌عنوان منبعی برای گسترش شایعات باشد. شایعاتی غیرواقعی و فریبنده که می‌تواند تأثیرات جبران‌ناپذیری برروی افراد و جامعه به‌وجود بیاورد. در این پژوهش مجموعه کاملی از ویژگی‌های جدید ساختاری مربوط به درخت پاسخ و گراف کاربران در تشخیص مکالمه‌های شایعه توییتر استخراج شدند. این ویژگی‌ها با توجه به معیارهای سنتی گراف‌ها و معیارهای مخصوص انتشار شایعه، در بازه‌های زمانی مختلف به مدت 24 ساعت از زمان شروع مکالمه‌ها در‌خصوص رویدادهای بحرانی در توییتر استخراج شده‌اند.  نتایج حاصل از بررسی ویژگی‌های جدید، دیدگاه عمیقی از ساختار انتشار اطلاعات در مکالمه‌ها را فراهم می‌کند. بر‌اساس نتایج به‌دست‌آمده، ویژگی‌های جدید ساختاری در تشخیص مکالمه‌های شایعه در رویدادهای توییتر مؤثر هستند؛ ازاین‌رو، الگوریتم دسته‌بند شایعه مبتنی بر ویژگی‌های جدید ساختاری، زبانی و کاربران در تشخیص مکالمه‌های شایعه زبان انگلیسی توییتر ، پیشنهاد داده شد. روش پیشنهادی در مقایسه با روش‌های پایه، عملکرد بهتری دارد. همچنین، با توجه به اهمیت کاربر توییت منبع در مکالمه‌ها، این کاربر از جنبه‌های مختلفی موردبررسی و آنالیز قرار گرفت.
متن کامل [PDF 1118 kb]   (101 دریافت)    
نوع مطالعه: پژوهشي | موضوع مقاله: مقالات پردازش متن
دریافت: 1399/1/15 | پذیرش: 1399/12/11 | انتشار: 1400/10/30 | انتشار الکترونیک: 1400/10/30

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