Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis

Ribeiro, Manoel Horta; Gligorić, Kristina; Peyrard, Maxime; Lemmerich, Florian; Strohmaier, Markus; West, Robert

doi:10.1609/icwsm.v15i1.18054

Cited by 8 publications

(6 citation statements)

References 31 publications

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“…Typically, it is overwhelmed by the never-yielding interest in entertainment. This is hardly surprising, given that the public is known to shorten its attention span 43 , 44 , even during the COVID crisis 45 . This is in agreement with one of our results, namely, that the public tends to collectively remember only the most recent attacks (cf.…”

Section: Discussionmentioning

confidence: 99%

Terrorist attacks sharpen the binary perception of “Us” vs. “Them”

Jović

Šubelj

Голоб

et al. 2023

Sci Rep

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Terrorist attacks not only harm citizens but also shift their attention, which has long-lasting impacts on public opinion and government policies. Yet measuring the changes in public attention beyond media coverage has been methodologically challenging. Here we approach this problem by starting from Wikipedia’s répertoire of 5.8 million articles and a sample of 15 recent terrorist attacks. We deploy a complex exclusion procedure to identify topics and themes that consistently received a significant increase in attention due to these incidents. Examining their contents reveals a clear picture: terrorist attacks foster establishing a sharp boundary between “Us” (the target society) and “Them” (the terrorist as the enemy). In the midst of this, one seeks to construct identities of both sides. This triggers curiosity to learn more about “Them” and soul-search for a clearer understanding of “Us”. This systematic analysis of public reactions to disruptive events could help mitigate their societal consequences.

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Section: Discussionmentioning

confidence: 99%

Terrorist attacks sharpen the binary perception of “Us” vs. “Them”

Jović

Šubelj

Голоб

et al. 2023

Sci Rep

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“…These patterns could be due to low-quality articles having greater potential for improvement when unprotected, as even small changes can be valuable to the content. In that context, page protection reduces these articles' already limited chance of improvement, as on Wikipedia, a vast mass of articles are competing for attention at any time [30]. Furthermore, possible vandalism reverts or misinformation corrections by experienced editors or admins after protection could result in collateral damage due to excessive content removal.…”

Section: Discussionmentioning

confidence: 99%

Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions

Ruprechter

Ribeiro

Santos

et al. 2021

Sci Rep

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Wikipedia, the largest encyclopedia ever created, is a global initiative driven by volunteer contributions. When the COVID-19 pandemic broke out and mobility restrictions ensued across the globe, it was unclear whether contributions to Wikipedia would decrease in the face of the pandemic, or whether volunteers would withstand the added stress and increase their contributions to accommodate the growing readership uncovered in recent studies. We analyze $$\mathbf {223}$$ 223 million edits contributed from 2018 to 2020 across twelve Wikipedia language editions and find that Wikipedia’s global volunteer community responded resiliently to the pandemic, substantially increasing both productivity and the number of newcomers who joined the community. For example, contributions to the English Wikipedia increased by over $$\mathbf {20\%}$$ 20 % compared to the expectation derived from pre-pandemic data. Our work sheds light on the response of a global volunteer population to the COVID-19 crisis, providing valuable insights into the behavior of critical online communities under stress.

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“…We examined the amount of data that is lost and retransmitted in order to better understand the behavior of the transport system. This metric's precise definition is as follows: Total bytes retransmitted by the transport / Total bytes acknowledged equals RTX Overhead [54]. It was discovered that BBR had less overhead overall for all users than CUBIC.…”

Section: Rtx Overhead Comparisonmentioning

confidence: 99%

Performance Evaluation of Congestion Control Algorithm in TCP/IP Differentiated Services During COVID-19 Pandemic Due to Heavy Surge in Real-Time Traffic

Sunil Kumar Kushwaha,

Dr. Suresh K. Jain,

Sourabh Dave

2024

Int Res J Adv Engg Hub

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Numerous nations implemented countrywide lockdowns because of the COVID-19 epidemic, which forced almost all peoples to remain at home. The imposition of confinement restrictions led to an increase in residential users' Internet traffic demands, particularly for distant work, entertainment, commerce, and education. This resulted in changes to the traffic patterns within the Internet core. In this research, we investigate the impact of the countrywide lockdowns on internet traffic based on dscp values by collecting data from class-A, class-B and Class-C ISP.(Three Class-A ISP, Three Class-B ISP and Three Class-C ISP) which leads to heavy congestion in the network and finally the performance valuation is carried out. The overall rise is exponential in nature, we notice that the traffic volume climbed by 15-30% almost in a quarter, which is a significant gain in such a short amount of time. Direct examination of the traffic sources reveals that, although hypergiants continue to account for a sizeable portion of traffic, there has been a greater increase in non-hypergiant traffic as well as in traffic from home-use applications like Web conferencing, VPNs, and gaming. Academic networks show significant overall declines whereas many networks, particularly those serving residential users, pharmaceutical companies, online interaction platform increases in traffic demands. However, we can see significant gains in these networks when we look at applications related to lecturing and remote working. The changes in the nature of use by customers show that there is a sharp difference in application pertaining to usage. Previous to this period, most usage is on YouTube, Facebook and google search. However, after this period most traffic diverted to online platforms such as zoom, google meet, Teams, and others as well as OTT platform comes into the picture. Over the past two decades, there has been a notable shift in user profiles. In the early 2010s, we saw most traffic was inclined on stored video and audio data in continuation with conventional traffic [23, 49, 66], which was followed by content delivery and streaming applications [7, 24, 35, 37, 52], and mobile applications [32, 67] in the 2010s. Even though user profile modifications are a moving target, they usually take years to complete. So, it was possible to stay current, for example, by measurements. The impact of this pandemic created chaotic conditions as most traffic migrated to real time surge data. Thus, the congestion management becomes more complicated as of previous challenges. The ISP forced to provide more bandwidth to real-time traffic which leads to overprovisioning. Thus, an efficient algorithm is required for managing such surge traffic which may especially meet real time traffic as required by most customers. This paper thus focuses on impact of after corona-19 pandemic effect, the shift of traffic by various users and applications the behavior of some existing algorithms in terms of congestion management and finally suggested a balanced method for managing congestion in such heavy surge traffic.

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Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis

Cited by 8 publications

References 31 publications

Terrorist attacks sharpen the binary perception of “Us” vs. “Them”

Terrorist attacks sharpen the binary perception of “Us” vs. “Them”

Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions

Performance Evaluation of Congestion Control Algorithm in TCP/IP Differentiated Services During COVID-19 Pandemic Due to Heavy Surge in Real-Time Traffic

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