(2019): This study published in Frontiers in Blockchain found that a small, tightly connected group of editors handles most cryptocurrency information on Wikipedia. It demonstrated that a trading strategy informed by daily Wikipedia views can outperform baseline strategies, as rising attention often precedes price drops, while decreasing interest might signal a future rise.
(2013): Published in Nature , this early research revealed a strong correlation (0.82) between Bitcoin prices and Wikipedia search queries. It highlighted a bidirectional relationship where price changes drive views and vice versa. buy bitcoins wikipedia
(2019): This paper proposed a model to estimate cryptocurrency adoption by country based on Wikipedia traffic across different language versions. It found that Bitcoin's English entry has the highest quality, while other languages like Russian and German lead in quality for specific coins like Bitcoin and Litecoin respectively. (2019): This study published in Frontiers in Blockchain
: An internal collaboration of editors focuses specifically on improving the quality and organization of cryptocurrency-related articles. : An internal collaboration of editors focuses specifically
(2021): This study investigated how Wikipedia searches for major coins like Bitcoin and Ethereum predict market volatility and "realised skewness" (investor attention-driven price pressure) the following day. Wikipedia's Internal Relationship with Bitcoin