Page 28 - REVISTA CIENTIFICA EL MISIONERO DEL AGRO
P. 28
El Misionero del Agro
The Missionary of the Agro
Influencia de los bots sociales en la percepción de marcas de empresas Ecuatorianas
BotOrNot Tool. Retrieved from http:// Disappearing Human-Machine Divide.
truthy.indiana.edu/botornot/. Springer International Publishing.
• Jansen, B. J., Zhang, M., Sobel, K., & • Socialbakers. (2015). Socialbakers Brand
Chowdury, A. (2009). Twitter power: Statistics from Twitter, Ecuador 2015.
Tweets as electronic word of mouth. Retrieved July 25, 2015, from http://
Journal of the American Society for www.socialbakers.com/statistics/twitter/
Information Science and Technology, profiles/ecuador/brands/page-1-5/
60(11), 2169.
• Turing, A. M. (1950). Computing
• Mitter, S., Wagner, C., & Strohmaier, machinery and intelligence. Mind, 433–
M. (2014). Understanding the impact of 460.
socialbot attacks in online social networks.
arXiv Preprint arXiv:1402.6289. • Uberty, D. (2014). How misinformation
goes viral: a Truthy story - Columbia
• Mowbray, M. (2014). Automated Twitter Journalism Review. Retrieved
Accounts. TWITTER AND SOCIETY, 183. November 30, 2015, from http://
www.cjr.org/behind_the_news/how_
• Myatt, G. J., & Johnson, W. P. (2014). misinformation_goes_viral.php
Making Sense of Data I: A Practical Guide
to Exploratory Data Analysis and Data • Wagner, C., Mitter, S., Körner, C., &
Mining. (J. Wiley, Ed.) (2nd ed.). Wiley. Strohmaier, M. (2012). When social bots
attack: Modeling susceptibility of users in
• Nilsson, N. J. (2009). The Quest for online social networks. Making Sense of
Artificial Intelligence. Cambridge Microposts (# MSM2012), 2.
University Press.
• Webb, A. R., & Copsey, K. D. (2011).
• O’Reilly Media, I. (2012). Big Data Now: Statistical Pattern Recognition , 3rd ed.
2012 Edition. O’Reilly Media. (J. Wiley, Ed.) (3rd ed.). Marlvern, United
Kingdom: Wiley & Sons, Ltd.
• Peña M., J. (2001). Arquitectura
distribuida de control para sistemas con • Weller, K., Bruns, A., Burgess, J., Mahrt,
capacidades de data mining. M., & Puschmann, C. (2014). Twitter and
Society. (K. Weller, A. Bruns, J. Burgess,
• Romportl, J., Ircing, P., Zackova, E., M. Mahrt, & C. Puschmann, Eds.). New
Polak, M., & Schuster, R. (2012). Beyond York: Peter Lang.
AI: Artificial Dreams.
• Zhao, Y. (2014). R and Data Mining:
• Romportl, J., Zackova, E., & Kelemen, J. Examples and Case Studies, 1–160.
(2014). Beyond Artificial Intelligence: The
28 Autora: Ing. Elke Jacqueline Yerovi Ricaurte, MSc.
Coautores: Ing. Pablo Andrés Calderón Castro; Ing. Mariuxi Ileana Tejada Castro
The Missionary of the Agro
Influencia de los bots sociales en la percepción de marcas de empresas Ecuatorianas
BotOrNot Tool. Retrieved from http:// Disappearing Human-Machine Divide.
truthy.indiana.edu/botornot/. Springer International Publishing.
• Jansen, B. J., Zhang, M., Sobel, K., & • Socialbakers. (2015). Socialbakers Brand
Chowdury, A. (2009). Twitter power: Statistics from Twitter, Ecuador 2015.
Tweets as electronic word of mouth. Retrieved July 25, 2015, from http://
Journal of the American Society for www.socialbakers.com/statistics/twitter/
Information Science and Technology, profiles/ecuador/brands/page-1-5/
60(11), 2169.
• Turing, A. M. (1950). Computing
• Mitter, S., Wagner, C., & Strohmaier, machinery and intelligence. Mind, 433–
M. (2014). Understanding the impact of 460.
socialbot attacks in online social networks.
arXiv Preprint arXiv:1402.6289. • Uberty, D. (2014). How misinformation
goes viral: a Truthy story - Columbia
• Mowbray, M. (2014). Automated Twitter Journalism Review. Retrieved
Accounts. TWITTER AND SOCIETY, 183. November 30, 2015, from http://
www.cjr.org/behind_the_news/how_
• Myatt, G. J., & Johnson, W. P. (2014). misinformation_goes_viral.php
Making Sense of Data I: A Practical Guide
to Exploratory Data Analysis and Data • Wagner, C., Mitter, S., Körner, C., &
Mining. (J. Wiley, Ed.) (2nd ed.). Wiley. Strohmaier, M. (2012). When social bots
attack: Modeling susceptibility of users in
• Nilsson, N. J. (2009). The Quest for online social networks. Making Sense of
Artificial Intelligence. Cambridge Microposts (# MSM2012), 2.
University Press.
• Webb, A. R., & Copsey, K. D. (2011).
• O’Reilly Media, I. (2012). Big Data Now: Statistical Pattern Recognition , 3rd ed.
2012 Edition. O’Reilly Media. (J. Wiley, Ed.) (3rd ed.). Marlvern, United
Kingdom: Wiley & Sons, Ltd.
• Peña M., J. (2001). Arquitectura
distribuida de control para sistemas con • Weller, K., Bruns, A., Burgess, J., Mahrt,
capacidades de data mining. M., & Puschmann, C. (2014). Twitter and
Society. (K. Weller, A. Bruns, J. Burgess,
• Romportl, J., Ircing, P., Zackova, E., M. Mahrt, & C. Puschmann, Eds.). New
Polak, M., & Schuster, R. (2012). Beyond York: Peter Lang.
AI: Artificial Dreams.
• Zhao, Y. (2014). R and Data Mining:
• Romportl, J., Zackova, E., & Kelemen, J. Examples and Case Studies, 1–160.
(2014). Beyond Artificial Intelligence: The
28 Autora: Ing. Elke Jacqueline Yerovi Ricaurte, MSc.
Coautores: Ing. Pablo Andrés Calderón Castro; Ing. Mariuxi Ileana Tejada Castro
