Paper Title

Review On Development Of Opinion-Solve Scuffle

Article Identifiers

Registration ID: IJNRD_191273

Published ID: IJNRD2304341

DOI: Click Here to Get

Authors

Jaishankar Tripathi , Ayaz Shaikh , Shubham Mirase , Harshal Burde , Laxmikant Anturkar & Isha Ganvir

Keywords

Opinion based groups Social identity theory Identification Computer mediated communication Online opinion sharing

Abstract

This project "Opinion - Solve Scuffle" is a system based desktop application that is useful for solving people queries and scuffle. Whenever the government comes up with policies, some people understand the policies and some do not. We are creating an application for an opinion poll where we would be providing two buttons: agree or disagree. When the user agrees with the policy, he will press the agree button and have to write a review. Whenever the user doesn't like the policies, he will press the disagree button, and the application will provide them with a summary of the policies as written by the agreed customer for a better understanding of the policies. In part, it would be helpful for the government too, as they would better understand the people's expectations and problems with those particular policies. First, let’s clarify one thing. The social media application is powered by multiple algorithms that determine all aspects of how content is served on the platform. This includes everything from recommended accounts to top tweets, like most social media algorithms. When most people talk about the social media algorithm, they mean the one that powers the home feed timeline (also known as the top opinions view). Here’s how social media itself describes the algorithmic home timeline: "A stream of opinions from accounts you have chosen to follow on social media applications, as well as recommendations of other content. We think you might be interested in based on accounts you interact with frequently, opinions you engage with, and more." The social application feed algorithm doesn’t affect the main timeline for those using the Latest Opinions view, a simple list of opinions from followed topics and accounts in reverse-chronological order. But it does structure the timeline for those using Home View. Social media algorithms also power political trends, topics, and recommendations, which appear in the Notifications tab (and come through as push notifications), on the Explore page, and in the home timeline

How To Cite (APA)

Jaishankar Tripathi, Ayaz Shaikh, Shubham Mirase, Harshal Burde , & Laxmikant Anturkar & Isha Ganvir (April-2023). Review On Development Of Opinion-Solve Scuffle. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), d283-d289. https://ijnrd.org/papers/IJNRD2304341.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : d283-d289

Other Publication Details

Paper Reg. ID: IJNRD_191273

Published Paper Id: IJNRD2304341

Downloads: 000121975

Research Area: Computer Science & Technology 

Country: Nagpur, Maharashatra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304341.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304341

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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