Towards a location-aware blockchain-based solution to distinguish fake news in social media

Wahid Sadique Koly; Abu Kaisar Jamil; Mohammad Shahriar Rahman; Hanif Bhuiyan; Md Zakirul Alam Bhuiyan; Abdullah Al Omar

doi:10.1007/978-981-19-0468-4_9

Towards a location-aware blockchain-based solution to distinguish fake news in social media

Wahid Sadique Koly
, Abu Kaisar Jamil
, Mohammad Shahriar Rahman
, Hanif Bhuiyan
, Md Zakirul Alam Bhuiyan
, Abdullah Al Omar

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

Abstract

Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views, and facts for its user. Through social media, a piece of news or information can reach every corner of the world within seconds. It is quite hard for a general social media user to distinguish fake news from real one. Even sometimes social media users cannot distinguish the fake news while residing in the same location of that real news. Hence, in this paper, we have proposed a location-aware blockchain-based news validation system that can be integrated with social media in order to distinguish fake news and misleading information from real ones.

Original language	English
Title of host publication	Ubiquitous Security
Subtitle of host publication	First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers
Editors	Guojun Wang, Kim-Kwang Raymond Choo, Ryan K. Ko, Yang Xu, Bruno Crispo
Place of Publication	Singapore Singapore
Publisher	Springer
Pages	116-130
Number of pages	15
Edition	1st
ISBN (Electronic)	9789811904684
ISBN (Print)	9789811904677
DOIs	https://doi.org/10.1007/978-981-19-0468-4_9
Publication status	Published - 2022
Externally published	Yes
Event	International Conference on Ubiquitous Security 2021 - Guangzhou, China Duration: 28 Dec 2021 → 31 Dec 2021 Conference number: 1st https://doi.org/10.1007/978-981-19-0468-4

Publication series

Name	Communications in Computer and Information Science
Volume	1557 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	International Conference on Ubiquitous Security 2021
Abbreviated title	UbiSec 2021
Country/Territory	China
City	Guangzhou
Period	28/12/21 → 31/12/21
Internet address	https://doi.org/10.1007/978-981-19-0468-4

Keywords

Blockchain
Consensus
Fake news
Location-aware

Access to Document

10.1007/978-981-19-0468-4_9

Cite this

Koly, W. S., Jamil, A. K., Rahman, M. S., Bhuiyan, H., Bhuiyan, M. Z. A., & Al Omar, A. (2022). Towards a location-aware blockchain-based solution to distinguish fake news in social media. In G. Wang, K.-K. R. Choo, R. K. Ko, Y. Xu, & B. Crispo (Eds.), Ubiquitous Security: First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers (1st ed., pp. 116-130). (Communications in Computer and Information Science; Vol. 1557 CCIS). Springer. https://doi.org/10.1007/978-981-19-0468-4_9

Koly, Wahid Sadique ; Jamil, Abu Kaisar ; Rahman, Mohammad Shahriar et al. / Towards a location-aware blockchain-based solution to distinguish fake news in social media. Ubiquitous Security: First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers. editor / Guojun Wang ; Kim-Kwang Raymond Choo ; Ryan K. Ko ; Yang Xu ; Bruno Crispo. 1st. ed. Singapore Singapore : Springer, 2022. pp. 116-130 (Communications in Computer and Information Science).

@inproceedings{f87cc1c6545442e39d56e6e037728b6d,

title = "Towards a location-aware blockchain-based solution to distinguish fake news in social media",

abstract = "Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views, and facts for its user. Through social media, a piece of news or information can reach every corner of the world within seconds. It is quite hard for a general social media user to distinguish fake news from real one. Even sometimes social media users cannot distinguish the fake news while residing in the same location of that real news. Hence, in this paper, we have proposed a location-aware blockchain-based news validation system that can be integrated with social media in order to distinguish fake news and misleading information from real ones.",

keywords = "Blockchain, Consensus, Fake news, Location-aware",

author = "Koly, \{Wahid Sadique\} and Jamil, \{Abu Kaisar\} and Rahman, \{Mohammad Shahriar\} and Hanif Bhuiyan and Bhuiyan, \{Md Zakirul Alam\} and \{Al Omar\}, Abdullah",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Ubiquitous Security 2021, UbiSec 2021 ; Conference date: 28-12-2021 Through 31-12-2021",

year = "2022",

doi = "10.1007/978-981-19-0468-4\_9",

language = "English",

isbn = "9789811904677",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "116--130",

editor = "Guojun Wang and Choo, \{Kim-Kwang Raymond\} and Ko, \{Ryan K.\} and Yang Xu and Bruno Crispo",

booktitle = "Ubiquitous Security",

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Koly, WS, Jamil, AK, Rahman, MS, Bhuiyan, H, Bhuiyan, MZA & Al Omar, A 2022, Towards a location-aware blockchain-based solution to distinguish fake news in social media. in G Wang, K-KR Choo, RK Ko, Y Xu & B Crispo (eds), Ubiquitous Security: First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers. 1st edn, Communications in Computer and Information Science, vol. 1557 CCIS, Springer, Singapore Singapore, pp. 116-130, International Conference on Ubiquitous Security 2021, Guangzhou, China, 28/12/21. https://doi.org/10.1007/978-981-19-0468-4_9

Towards a location-aware blockchain-based solution to distinguish fake news in social media. / Koly, Wahid Sadique; Jamil, Abu Kaisar; Rahman, Mohammad Shahriar et al.
Ubiquitous Security: First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers. ed. / Guojun Wang; Kim-Kwang Raymond Choo; Ryan K. Ko; Yang Xu; Bruno Crispo. 1st. ed. Singapore Singapore: Springer, 2022. p. 116-130 (Communications in Computer and Information Science; Vol. 1557 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Towards a location-aware blockchain-based solution to distinguish fake news in social media

AU - Koly, Wahid Sadique

AU - Jamil, Abu Kaisar

AU - Rahman, Mohammad Shahriar

AU - Bhuiyan, Hanif

AU - Bhuiyan, Md Zakirul Alam

AU - Al Omar, Abdullah

N1 - Conference code: 1st

PY - 2022

Y1 - 2022

N2 - Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views, and facts for its user. Through social media, a piece of news or information can reach every corner of the world within seconds. It is quite hard for a general social media user to distinguish fake news from real one. Even sometimes social media users cannot distinguish the fake news while residing in the same location of that real news. Hence, in this paper, we have proposed a location-aware blockchain-based news validation system that can be integrated with social media in order to distinguish fake news and misleading information from real ones.

AB - Nowadays, social media is the main source of all global and local news in this generation. But the propagation of fake news and misleading information through social media has become a major concern. Fake news and misleading information often cause crucial damage to human life and society. Moreover, social media has become a source of news, views, and facts for its user. Through social media, a piece of news or information can reach every corner of the world within seconds. It is quite hard for a general social media user to distinguish fake news from real one. Even sometimes social media users cannot distinguish the fake news while residing in the same location of that real news. Hence, in this paper, we have proposed a location-aware blockchain-based news validation system that can be integrated with social media in order to distinguish fake news and misleading information from real ones.

KW - Blockchain

KW - Consensus

KW - Fake news

KW - Location-aware

UR - https://www.scopus.com/pages/publications/85126265657

U2 - 10.1007/978-981-19-0468-4_9

DO - 10.1007/978-981-19-0468-4_9

M3 - Conference Paper

AN - SCOPUS:85126265657

SN - 9789811904677

T3 - Communications in Computer and Information Science

SP - 116

EP - 130

BT - Ubiquitous Security

A2 - Wang, Guojun

A2 - Choo, Kim-Kwang Raymond

A2 - Ko, Ryan K.

A2 - Xu, Yang

A2 - Crispo, Bruno

PB - Springer

CY - Singapore Singapore

T2 - International Conference on Ubiquitous Security 2021

Y2 - 28 December 2021 through 31 December 2021

ER -

Koly WS, Jamil AK, Rahman MS, Bhuiyan H, Bhuiyan MZA, Al Omar A. Towards a location-aware blockchain-based solution to distinguish fake news in social media. In Wang G, Choo KKR, Ko RK, Xu Y, Crispo B, editors, Ubiquitous Security: First International Conference, UbiSec 2021, Guangzhou, China, December 28–31, 2021, Revised Selected Papers. 1st ed. Singapore Singapore: Springer. 2022. p. 116-130. (Communications in Computer and Information Science). doi: 10.1007/978-981-19-0468-4_9

Towards a location-aware blockchain-based solution to distinguish fake news in social media

Abstract

Publication series

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Keywords

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