Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles
Introducción— Los datos se pueden encontrar dentro y fuera de las organizaciones; y crecen exponencialmente. Hoy en día, la información disponible en internet y las redes sociales se ha convertido en un generador de valor a través del análisis efectivo de una situación específica y el uso de técnica...
- Autores:
-
SANCHEZ PAIPILLA, ARIEL GUILLERMO
Duran, Monica
Ballesteros-Ricaurte, Javier Antonio
Gonzalez Amarillo, Angela Maria
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9989
- Acceso en línea:
- https://hdl.handle.net/11323/9989
https://repositorio.cuc.edu.co/
- Palabra clave:
- Raspado web
Rastreo web
Redes sociales
Datos
HTML
Web scraping
Web crawling
Social networking
Data
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| dc.title.translated.none.fl_str_mv |
Bot Crawler para la obtención de datos de la red social facebook a partir de la selección de publicaciones y extracción de perfiles de usuarios |
| title |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| spellingShingle |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles Raspado web Rastreo web Redes sociales Datos HTML Web scraping Web crawling Social networking Data |
| title_short |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| title_full |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| title_fullStr |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| title_full_unstemmed |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| title_sort |
Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles |
| dc.creator.fl_str_mv |
SANCHEZ PAIPILLA, ARIEL GUILLERMO Duran, Monica Ballesteros-Ricaurte, Javier Antonio Gonzalez Amarillo, Angela Maria |
| dc.contributor.author.none.fl_str_mv |
SANCHEZ PAIPILLA, ARIEL GUILLERMO Duran, Monica Ballesteros-Ricaurte, Javier Antonio Gonzalez Amarillo, Angela Maria |
| dc.subject.proposal.spa.fl_str_mv |
Raspado web Rastreo web Redes sociales Datos |
| topic |
Raspado web Rastreo web Redes sociales Datos HTML Web scraping Web crawling Social networking Data |
| dc.subject.proposal.eng.fl_str_mv |
HTML Web scraping Web crawling Social networking Data |
| description |
Introducción— Los datos se pueden encontrar dentro y fuera de las organizaciones; y crecen exponencialmente. Hoy en día, la información disponible en internet y las redes sociales se ha convertido en un generador de valor a través del análisis efectivo de una situación específica y el uso de técnicas y metodologías que permiten proponer soluciones basadas en contenido para así poder implementar procesos de toma de decisiones oportunos, inteligentes y asertivos. Objetivo— El objetivo principal de este trabajo es el desarrollo de un rastreador web que permita la extracción de información de Facebook sin restricciones de acceso o el requerimiento de credenciales, el cual estaría basado en rastreo web y técnicas de raspado a través de la selección de etiquetas HTML para identificar y definir patrones. Metodología— El enfoque utilizado para el desarrollo de la presente propuesta implicó 4 etapas principales: A) Trabajo colaborativo SCRUM; B) Comparación de técnicas de extracción de datos en la web; C) Extracción y validación de permisos para el acceso a los datos en la red social Facebook; y D) Desarrollo del Bot Crawler. Resultados— Como resultado de este proceso, se creó una interfaz gráfica que permite revisar el proceso de obtención de datos derivados de perfiles de usuario en esta red social. Conclusiones— Para la obtención de datos de la red social Facebook a partir de la selección de publicaciones y extracción de perfiles de usuarios, el tiempo de ejecución del Bot Crawler se optimiza de manera considerable respecto a otras APIs, donde a mayor obtención de perfiles que acceden a una publicación semilla, menor tiempo de obtención de datos. |
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A. Sánchez Paipilla, M. Durán Vaca, J. Ballesteros Ricaurte, A. González Amarillo & P. López Castellanos, “Bot crawler to retrieve data from Facebook based on the selection of posts and the extraction of user profiles”, INGECUC, vol. 18, no. 2, pp. 101–113s. DOI: http://doi.org/10.17981/ingecuc.18.2.2022.08 |
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Corporación Universidad de la Costa |
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A. Sánchez Paipilla, M. Durán Vaca, J. Ballesteros Ricaurte, A. González Amarillo & P. López Castellanos, “Bot crawler to retrieve data from Facebook based on the selection of posts and the extraction of user profiles”, INGECUC, vol. 18, no. 2, pp. 101–113s. DOI: http://doi.org/10.17981/ingecuc.18.2.2022.08 0122-6517 10.17981/ingecuc.18.2.2022.08 2382-4700 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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INGE CUC |
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[1] N. Bolbol & T. Barhoom, “Mitigating Web Scrapers using Markup Randomization,” presented at 2021 Palestinian International Conference on Information and Communication Technology, PICICT, GZA, PS, 28-29 Sept. 2021. https://doi.org/10.1109/PICICT53635.2021.00038 [2] L. Wang & H. Wang, “Design and Research ofWeb Crawler Based on Distributed Architecture,” presented at 3rd International Conference on Artificial and Advance Manufacture, AIAM, MAN, UK, 23-25 Oct. 2021. https://doi.org/10.1145/3495018.3495061 [3] P. Thota & E. Ramez, “Web Scraping of COVID-19 News Stories to Create Datasets for Sentiment and Emotion Analysis,” presented at 14th Pervasive Technologies Related to Assistive Environments Conference, PETRA, CFU, GR, 29 Jun. 2 Jul. 2021. https://doi.org/10.1145/3453892.3461333 [4] H. Habib, S. Pearman, E. Young, I. Saxena, R. Zhang & L. Cranor, “Identifying User Needs for Advertising Controls on Facebook,” presented at Human-Computer Interaction, ACM, NYC, NY, USA, 2022. https://doi.org/10.1145/3512906 [5] M. Klymash, I. Demydov, L. Uryvskyi & Y. Pyrih, “A Brief Survey on Architecture of Feedback Systems for Interactive E-Government ICT Platforms,” presented at 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, LV-SLA, UA, 25- 29 Feb. 020. https://doi.org/10.1109/TCSET49122.2020.235475 [6] A. Lagopoulos, G. Tsoumakas & G. Papadopoulos, “Web robot detection: A semantic approach,” presented at 30th International Conference on Tools with Artificial Intelligence, ICTAI, VLS, GR, 5-7 Nov. 2018. https://doi.org/10.1109/ICTAI.2018.00150 [7] M. Hossen, Y. Wang, H. Tariq, G. Nyame & R. Nuhoho, “Statistical analysis of extracted data from video site by using web crawler,” presented at 2018 International Conference on Computing and Artificial Intelligence, ICCAI, CHD, CN, 12-14 Mar. 2018. https://doi.org/10.1145/3194452.3194466 [8] Y. Feng, J. Li, L. Jiao & X. Wu, “BotFlowMon: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows,” presented at 2019 IEEE Conference on Communications and Network Security, CNS, WA D.C., WA, USA, 10-12 Jun. 2019. https://doi.org/10.1109/CNS.2019.8802706 [9] P. Lewandowski, M. Janiszewski & A. Felkner, “SpiderTrap - An Innovative Approach to Analyze Activity of Internet Bots on a Website,” IEEE Access, vol. 8, pp. 141292–141309, Jul. 2020. https://doi. org/10.1109/ACCESS.2020.3012969 [10] J. Ho, “Assessing the bias of Facebook’s graph API,” presented at 30th ACM Conference on Hypertext and Social Media, ACM, HOF, DE, 17-20 Sept. 2019. https://doi.org/10.1145/3342220.3344923 [11] Y. Huang, “Privacy Security Status and Countermeasures in the Era of Big Data,” presented at 3rd International Conference on Big Data Engineering and Technology, BDET, SGP, SGP, 16-18 Jan. 2021. https://doi.org/10.1145/3474944.3474952 [12] G. Gao, Y. Liu & G. Bai, “Crawling and Analysis of Data Based on Social Networking on Stock Comments,” presented at IOP Conference Series: Earth and Environmental Science, IOP, HB, CN, 14-16 Dec. 2019. https://doi.org/10.1088/1755-1315/234/1/012093 [13] Ö. Çoban, A. Inan & S. Özel, “Facebook Tells Me Your Gender: An Exploratory Study of Gender Prediction for Turkish Facebook Users,” ACM Trans. Asian Low-Resour. Lang. Inf. Process., vol. 20, no. 4, pp. 1–38, Jul. 2021. https://doi.org/10.1145/3448253 [14] S. Pais, J. Cordeiro, R. Martins & M. Albardeiro, “Socialnetcrawler - Online social network crawler,” presented at 11th International Conference on Management of Digital EcoSystems, MEDES, LMS, CYP, 12-14 Nov. 019. https://doi.org/10.1145/3297662.3365805 [15] F. Erlandsson, R. Nia, M. Boldt, H. Johnson & S. Wu, “Crawling Online Social Networks,” presented at 2015 Second European Network Intelligence Conference, ENIC, KKN, SE, 21-22 Sept. 2015. https://doi. org/10.1109/ENIC.2015.10 [16] M. Yadav, G. Tanwar & A. Wadhwa, “Social Network with Web Crawler & Cluster,” Int J Comput Sci Commun, vol. 10, no. 2, pp. 171–179, Mar. 2019. Available from http://csjournals.com/IJCSC/PDF10- 2/4.%20Meenu.pdf [17] G. Colmenares, N. Méndez y O. Virgüez, “Deep Dark Web & Social Crawler (DDW&SC): Aplicativo para apoyar la gestión de Ciberinteligencia”, Trabajo de grado, Fac Ing, Prog Ing Sist, PUJ, BOG D.C., CO, 2019. Available: http://hdl.handle.net/10554/47278 [18] M. Ramírez, M. Salgado, H. Ramírez, E. Manrique, N. Osuna y R. Rosales, “Metodología SCRUM y desarrollo de Repositorio Digital,” RISTI, no. E17, pp. 1062–1072, Ene. 2019. Disponible en http://www. risti.xyz/issues/ristie17.pdf [19] B. Grebić & A. Stojanović, “Application of the Scrum Framework on Projects in IT Sector,” Eur Proj Manag J, vol. 11, no. 2, pp. 37–46, Dec. 2021. https://doi.org/10.18485/epmj.2021.11.2.4 [20] R. Martínez, R. Rodríguez, P. Vera y C. Parkinson, “Análisis de técnicas de raspado de datos en la web aplicado al Portal del Estado Nacional Argentino”, presentado al XXV Congreso Argentino de Ciencias de la Computación, RedUNCI, Rio CTO, AR, 14-18 Oct. 2019. Disponible en http://sedici.unlp.edu.ar/ handle/10915/91026 [21] I. Galdino, E. Gallindo & M. Moreira, “Utilização de Bots para Obtenção Automática de Dados Públicos usando as Técnicas de Web Crawling e Web Scraping,” presentado a VIII Workshop de Computação Aplicada em Governo Eletrônico, WCGE, POA, BR, 16-20 Nov. 2020. https://doi.org/10.5753/ wcge.2020.11269 [22] S. Kaur, A. Singh, G. Geetha & X. Cheng, “IHWC: intelligent hidden web crawler for harvesting data in urban domains,” Complex Intell Syst, pp. 1–19, Jul. 2021. https://doi.org/10.1007/s40747-021-00471- 1 [23] G. Meiser, P. Laperdrix & B. Stock, “Careful Who You Trust: Studying the Pitfalls of Cross-Origin Communication,” presented at ACM Asia Conference on Computer and Communications Security, ASIA CCS, HK, CN, 7-11 Jun. 2021. https://doi.org/10.1145/3433210.3437510 |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Derechos de autor 2022 INGE CUChttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2SANCHEZ PAIPILLA, ARIEL GUILLERMODuran, MonicaBallesteros-Ricaurte, Javier AntonioGonzalez Amarillo, Angela Maria2023-04-17T20:24:56Z2023-04-17T20:24:56Z2022A. Sánchez Paipilla, M. Durán Vaca, J. Ballesteros Ricaurte, A. González Amarillo & P. López Castellanos, “Bot crawler to retrieve data from Facebook based on the selection of posts and the extraction of user profiles”, INGECUC, vol. 18, no. 2, pp. 101–113s. DOI: http://doi.org/10.17981/ingecuc.18.2.2022.080122-6517https://hdl.handle.net/11323/998910.17981/ingecuc.18.2.2022.082382-4700Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Introducción— Los datos se pueden encontrar dentro y fuera de las organizaciones; y crecen exponencialmente. Hoy en día, la información disponible en internet y las redes sociales se ha convertido en un generador de valor a través del análisis efectivo de una situación específica y el uso de técnicas y metodologías que permiten proponer soluciones basadas en contenido para así poder implementar procesos de toma de decisiones oportunos, inteligentes y asertivos. Objetivo— El objetivo principal de este trabajo es el desarrollo de un rastreador web que permita la extracción de información de Facebook sin restricciones de acceso o el requerimiento de credenciales, el cual estaría basado en rastreo web y técnicas de raspado a través de la selección de etiquetas HTML para identificar y definir patrones. Metodología— El enfoque utilizado para el desarrollo de la presente propuesta implicó 4 etapas principales: A) Trabajo colaborativo SCRUM; B) Comparación de técnicas de extracción de datos en la web; C) Extracción y validación de permisos para el acceso a los datos en la red social Facebook; y D) Desarrollo del Bot Crawler. Resultados— Como resultado de este proceso, se creó una interfaz gráfica que permite revisar el proceso de obtención de datos derivados de perfiles de usuario en esta red social. Conclusiones— Para la obtención de datos de la red social Facebook a partir de la selección de publicaciones y extracción de perfiles de usuarios, el tiempo de ejecución del Bot Crawler se optimiza de manera considerable respecto a otras APIs, donde a mayor obtención de perfiles que acceden a una publicación semilla, menor tiempo de obtención de datos.Introduction— Data can currently be found within organizations and outside of them, they are growing exponentially. Today, the information available on the Internet and social networks has become a generator of value, through the effective analysis of a specific situation, using techniques and methodologies with which content-based solutions can be proposed, and thus achieve, execute timely, intelligent and assertive decision-making processes. Objective— The main objective of this work is to development of a Bot Crawler, which allows extracting information from Facebook without access restrictions, or request for credentials, based on web crawling and scraping techniques, through the selection of HTML tags, to track and be able to define patterns. Methodology— The development of this project consisted of four main stages: A) Teamwork with SCRUM, B) Comparison of web data extraction techniques, C) Extraction and validation of permissions to access the data in Facebook, D) Development of the bor crawler. Results— As a result of this process, a graphical interface was created to review the process of obtaining data derived from user profiles in this social network. Conclusions— As a result of this process, a graphical interface is created that allows checking the process of obtaining data derived from user profiles of this social network.13 páginasapplication/pdfengCorporación Universidad de la CostaColombiahttps://revistascientificas.cuc.edu.co/ingecuc/article/view/4419Bot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profilesBot Crawler para la obtención de datos de la red social facebook a partir de la selección de publicaciones y extracción de perfiles de usuariosArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85INGE CUC[1] N. Bolbol & T. Barhoom, “Mitigating Web Scrapers using Markup Randomization,” presented at 2021 Palestinian International Conference on Information and Communication Technology, PICICT, GZA, PS, 28-29 Sept. 2021. https://doi.org/10.1109/PICICT53635.2021.00038[2] L. Wang & H. Wang, “Design and Research ofWeb Crawler Based on Distributed Architecture,” presented at 3rd International Conference on Artificial and Advance Manufacture, AIAM, MAN, UK, 23-25 Oct. 2021. https://doi.org/10.1145/3495018.3495061[3] P. Thota & E. Ramez, “Web Scraping of COVID-19 News Stories to Create Datasets for Sentiment and Emotion Analysis,” presented at 14th Pervasive Technologies Related to Assistive Environments Conference, PETRA, CFU, GR, 29 Jun. 2 Jul. 2021. https://doi.org/10.1145/3453892.3461333[4] H. Habib, S. Pearman, E. Young, I. Saxena, R. Zhang & L. Cranor, “Identifying User Needs for Advertising Controls on Facebook,” presented at Human-Computer Interaction, ACM, NYC, NY, USA, 2022. https://doi.org/10.1145/3512906[5] M. Klymash, I. Demydov, L. Uryvskyi & Y. Pyrih, “A Brief Survey on Architecture of Feedback Systems for Interactive E-Government ICT Platforms,” presented at 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, LV-SLA, UA, 25- 29 Feb. 020. https://doi.org/10.1109/TCSET49122.2020.235475[6] A. Lagopoulos, G. Tsoumakas & G. Papadopoulos, “Web robot detection: A semantic approach,” presented at 30th International Conference on Tools with Artificial Intelligence, ICTAI, VLS, GR, 5-7 Nov. 2018. https://doi.org/10.1109/ICTAI.2018.00150[7] M. Hossen, Y. Wang, H. Tariq, G. Nyame & R. Nuhoho, “Statistical analysis of extracted data from video site by using web crawler,” presented at 2018 International Conference on Computing and Artificial Intelligence, ICCAI, CHD, CN, 12-14 Mar. 2018. https://doi.org/10.1145/3194452.3194466[8] Y. Feng, J. Li, L. Jiao & X. Wu, “BotFlowMon: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows,” presented at 2019 IEEE Conference on Communications and Network Security, CNS, WA D.C., WA, USA, 10-12 Jun. 2019. https://doi.org/10.1109/CNS.2019.8802706[9] P. Lewandowski, M. Janiszewski & A. Felkner, “SpiderTrap - An Innovative Approach to Analyze Activity of Internet Bots on a Website,” IEEE Access, vol. 8, pp. 141292–141309, Jul. 2020. https://doi. org/10.1109/ACCESS.2020.3012969[10] J. Ho, “Assessing the bias of Facebook’s graph API,” presented at 30th ACM Conference on Hypertext and Social Media, ACM, HOF, DE, 17-20 Sept. 2019. https://doi.org/10.1145/3342220.3344923[11] Y. Huang, “Privacy Security Status and Countermeasures in the Era of Big Data,” presented at 3rd International Conference on Big Data Engineering and Technology, BDET, SGP, SGP, 16-18 Jan. 2021. https://doi.org/10.1145/3474944.3474952[12] G. Gao, Y. Liu & G. Bai, “Crawling and Analysis of Data Based on Social Networking on Stock Comments,” presented at IOP Conference Series: Earth and Environmental Science, IOP, HB, CN, 14-16 Dec. 2019. https://doi.org/10.1088/1755-1315/234/1/012093[13] Ö. Çoban, A. Inan & S. Özel, “Facebook Tells Me Your Gender: An Exploratory Study of Gender Prediction for Turkish Facebook Users,” ACM Trans. Asian Low-Resour. Lang. Inf. Process., vol. 20, no. 4, pp. 1–38, Jul. 2021. https://doi.org/10.1145/3448253[14] S. Pais, J. Cordeiro, R. Martins & M. 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Singh, G. Geetha & X. Cheng, “IHWC: intelligent hidden web crawler for harvesting data in urban domains,” Complex Intell Syst, pp. 1–19, Jul. 2021. https://doi.org/10.1007/s40747-021-00471- 1[23] G. Meiser, P. Laperdrix & B. Stock, “Careful Who You Trust: Studying the Pitfalls of Cross-Origin Communication,” presented at ACM Asia Conference on Computer and Communications Security, ASIA CCS, HK, CN, 7-11 Jun. 2021. https://doi.org/10.1145/3433210.3437510113101218Raspado webRastreo webRedes socialesDatosHTMLWeb scrapingWeb crawlingSocial networkingDataPublicationORIGINALBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdfBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdfArtículoapplication/pdf820408https://repositorio.cuc.edu.co/bitstreams/50503811-ec18-4800-94dd-339ad9810bd6/download9a783770e38795804501fb9e4c7507b7MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/dce7bc1c-ad17-4bfc-b81c-ad6d43a6021d/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdf.txtBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdf.txtExtracted texttext/plain47639https://repositorio.cuc.edu.co/bitstreams/7b11049c-4df5-4de5-8d69-a69ccadeda74/downloadebf06f315f519c2e9a8cd2bd92f54e9bMD53THUMBNAILBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdf.jpgBot crawler to retrieve data from facebook based on the selection of posts and the extraction of user profiles.pdf.jpgGenerated Thumbnailimage/jpeg13057https://repositorio.cuc.edu.co/bitstreams/840333cb-4b1b-4077-891c-aab80d68016c/download811ee83892277c15665f89b5df1e21e9MD5411323/9989oai:repositorio.cuc.edu.co:11323/99892024-09-17 14:08:13.223https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos de autor 2022 INGE CUCopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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