Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks
Home > General > Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks
Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks

Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
About the Book

"Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks"

In today's interconnected world, social networks have become a ubiquitous platform for communication, information sharing, and interaction. With millions of users across the globe, these platforms have evolved into a dynamic ecosystem where information spreads at an unprecedented pace. However, this rapid dissemination of information also brings with it the challenge of identifying and mitigating the spread of unreliable or false information. This critical issue has given rise to extensive research on detecting unreliable information in social networks, and this article delves into the exploration of realistic scenarios in this context.

One of the foremost challenges in addressing unreliable information on social networks is the diversity of content and the varying degrees of reliability associated with it. In a realistic scenario, unreliable information can take the form of fake news, rumors, misinformation, or even manipulated media. These forms of unreliable content often blend seamlessly with genuine information, making them difficult to distinguish. Researchers have thus employed a multi-faceted approach, leveraging techniques from natural language processing, machine learning, and network analysis to sift through vast amounts of data and identify patterns that can help identify unreliable information.

Understanding the dynamics of information propagation is another crucial aspect of addressing this issue. Information spreads through social networks via a complex web of interactions, involving shares, retweets, comments, and likes. Identifying the key influencers and understanding the dynamics of information flow are essential components in the development of effective detection algorithms. Realistic scenarios require researchers to consider the behavioral aspects of users, including their susceptibility to unreliable information and the factors that drive engagement with such content.

Moreover, social networks are often plagued by echo chambers and filter bubbles, where users are exposed primarily to information that aligns with their existing beliefs and preferences. In such scenarios, unreliable information can gain traction within closed communities, making its detection even more challenging. Researchers must grapple with these phenomena to design detection methods that can transcend these boundaries and identify unreliable information across diverse user groups.

Additionally, the real-time nature of social networks demands the development of scalable and efficient algorithms that can process vast amounts of data in near-real-time. Timely detection and intervention are crucial to mitigate the harmful effects of unreliable information. Hence, the research in this area focuses on developing algorithms that can operate at scale without compromising accuracy.

In conclusion, exploring realistic scenarios for detecting unreliable information in social networks is a multidisciplinary endeavor that combines aspects of computer science, data analysis, and social behavior. Researchers are constantly innovating to develop robust solutions that can adapt to the ever-evolving landscape of social networks. By addressing these challenges, we can enhance the reliability of information on social platforms and empower users to make informed decisions in an increasingly interconnected world.


Best Sellers



Product Details
  • ISBN-13: 9788119669271
  • Publisher: Synergy Publisher
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 263 gr
  • ISBN-10: 8119669274
  • Publisher Date: 04 Sep 2023
  • Height: 229 mm
  • No of Pages: 152
  • Spine Width: 8 mm
  • Width: 152 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks
Synergy Publisher -
Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Exploring Realistic Scenarios for Detecting Unreliable Information in Social Networks

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!