USING N-GRAMS TO IDENTIFY EDIT WARS ON WIKIPEDIA

被引:0
|
作者
Ghosh, Arjun [1 ]
机构
[1] Indian Inst Technol Delhi, New Delhi, India
关键词
wikipedia; ngrams; history; hindutva; computation;
D O I
10.1109/BigMM.2019.00069
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents the method of identifying Wikipedia edit wars using N-grams analysis. The analysis is conducted on the corpus of past versions of Wikipedia pages concerning historical figures who are glorified and idolised by the Hindu Right. The analysis shows that Wikipedia's open structure and Article Policies enable a conversation between academic and popular histories, a feat which has been difficult in India in the past.
引用
收藏
页码:398 / 403
页数:6
相关论文
共 50 条
  • [1] Building Wikipedia N-grams with Apache Spark
    Esmaeilzadeh, Armin
    Cacho, Jorge Ramon Fonseca
    Taghva, Kazem
    Kambar, Mina Esmail Zadeh Nojoo
    Hajiali, Mahdi
    INTELLIGENT COMPUTING, VOL 2, 2022, 507 : 672 - 684
  • [2] Error Classification Using Automatic Measures Based on n-grams and Edit Distance
    Benko, L'ubomir
    Benkova, Lucia
    Munkova, Dasa
    Munk, Michal
    Shulzenko, Danylo
    ADVANCED RESEARCH IN TECHNOLOGIES, INFORMATION, INNOVATION AND SUSTAINABILITY, ARTIIS 2022, PT I, 2022, 1675 : 345 - 356
  • [3] Using n-Grams to Identify Time Periods of Cultural Influence
    Knight, Gregory P.
    Tabrizi, Nasseh
    ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE, 2016, 9 (03):
  • [4] Similarity of names across scripts: Edit distance using learned costs of n-grams
    Pouliquen, Bruno
    ADVANCES IN NATURAL LANGUAGE PROCESSING, PROCEEDINGS, 2008, 5221 : 405 - 416
  • [5] Selecting and Weighting N-Grams to Identify 1100 Languages
    Brown, Ralf D.
    TEXT, SPEECH, AND DIALOGUE, TSD 2013, 2013, 8082 : 475 - 483
  • [6] The Distribution of N-Grams
    Leo Egghe
    Scientometrics, 2000, 47 : 237 - 252
  • [7] Collocations and N-grams
    FREEBURY-JONES, D. A. R. R. E. N.
    RENAISSANCE AND REFORMATION, 2021, 44 (04) : 210 - 216
  • [8] The distribution of N-grams
    Egghe, L
    SCIENTOMETRICS, 2000, 47 (02) : 237 - 252
  • [9] SPEECH RECOGNITION USING FUNCTION-WORD N-GRAMS AND CONTENT-WORD N-GRAMS
    ISOTANI, R
    MATSUNAGA, S
    SAGAYAMA, S
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1995, E78D (06) : 692 - 697
  • [10] Plagiarism Detection Using Stopword n-grams
    Stamatatos, Efstathios
    JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2011, 62 (12): : 2512 - 2527