Method and system for protecting a user of one or more social networks or video games against the risks of cyberbullying and toxic content

Abstract

Method for protecting a user of one or more social networks (3) or video games (4), against risks of cyberbullying, this user having equipment (6-10) connected to a communication network (2) to access digital content from said social network(s) (3) or video games (4) or to receive digital content from one or more other users of said social network(s) (3) or video games (4), comprising steps of semantic and contextual analysis, processing of the results of semantic and contextual analysis to detect a situation of cyberbullying or toxicity, and in the event of detection of a situation of cyberbullying or toxicity of digital content, a display of the display of the toxic digital content thus detected on the screen of the connected equipment.This method further comprises, upstream of the semantic and contextual analysis step, a step for collecting (data mining) the digital contents of a data stream received from a social network, and a step for entering into a blockchain a set of descriptive data of this cyberbullying or toxicity. See Figure 1.

Description

Title of the invention: Method and system for protecting a user of one or more social networks or video games against the risks of cyberbullying and toxic content FIELD OF THE INVENTION

[0001] The present invention relates to a method for protecting a user of one or more social networks or video games against the risks of cyberbullying and toxic content. It also relates to a processing system implementing this method.

[0002] The field of the invention is more particularly that of the prevention and validity of proof of cyberbullying and online toxicity on social networks. TECHNOLOGICAL BACKGROUND

[0003] Since the emergence and massive deployment of social networks worldwide, an increasing number of situations of cyberbullying and online toxicity have been observed and parents of children with access to these social networks are helpless in the face of the serious risks that their children may run.

[0004] There are already software tools aimed at detecting toxic or cyberbullying messages in a flow of information passing through messaging and social networks.

[0005] Document US 11,138,237 B2 (IBM) discloses a method for analyzing toxicity of social media content, including constructing a class model that is representative of a type and level of toxicity associated with the content. A first social media message is analyzed, using a processor and memory, to calculate a first toxicity score associated with the first social media message and assign the first social media message to a first class of the class model. A second social media message is analyzed, using a processor and memory, to calculate a second toxicity score associated with the second social media message and assign the second social media message to a second class of the class model. Based on the first toxicity score, the first class, the second toxicity score, and the second class, a toxicity trend is predicted.In response to the predicted increase in toxicity trend, a corrective action is implemented to reduce the toxicity trend.

[0006] Document US 10,915,789 B2 discloses a method and apparatus for detecting offensive content on a portable electronic device, by monitoring communications sent, received or stored on the portable electronic device, and wherein monitoring includes collecting content data, classifying content data by calculating an alert score for content data wherein an alert score corresponds to detected offensive content, and sending an alert notification to a second portable electronic device to alert the detection of offensive content on the first portable electronic device.

[0007] Document US 2019 / 0266242 A1 discloses a method for mitigating cyberbullying by accurately intercepting and analyzing the sentiment of social media messages before presenting them to the intended recipient device. Based on the sentiment of the messages and the sender category, abusive messages may be sent to an administrator for review and appropriate action. As a result, such messages may be blocked from the intended recipient device. The system may analyze the sentiment of the messages using a machine learning approach, for example, using a Naive Bayes algorithm. An inference model may be generated via machine learning. The inference model may produce a metric that is used when evaluating the sentiment of the message.

[0008] Document US 2021 / 0042830 A1 discloses a digital media system that uses a decentralized communication system to transfer digital data. In some embodiments, the digital data includes digital property, currency, and instructions for executing financial transactions. In some embodiments, the digital media system controls the storage and flow of digital data through specified nodes located in specified jurisdictions.

[0009] Document US 2018 / 0349502 A1 discloses a method for filtering content from a graphical display of a computing device. The content may have an object associated with content identifiers. The method further includes determining, by the computing device and based on an indication of selected filter criteria, a respective weighted probability for the object, and determining, by the computing device, a graphical element for the application based on the weighted probability.

[0010] WO 2015 / 095597 A1 discloses a method for parents to view and track their children's smartphone activities. The module may be installed on each child's smartphone. The module may access and retrieve data regarding several other software applications on the smartphone, including at least two of the following: an SMS application, a social media application, an image application that facilitates the transmission or image reception, and a web browser application. The module can also send the extracted data to an analysis server.

[0011] Document US 2015 / 0095014 A1 discloses a content classification platform processes content directed to or from a user to determine one or more items in the content. The content rating platform calculates a content rating for the content by comparing the one or more items to at least one user-configurable dictionary, and then selects an operation to process the content based on the content rating.

[0012] WO 2022 / 055546 A1 discloses a method for filtering unwanted social media content in real-time. The system includes multiple sets of machine learning classifiers for filtering unwanted content on any type of media, including but not limited to text, images, audio, and video. Classifiers are trained with labeled data. After being trained, the models filter incoming data in real-time either on a server or on a mobile device. A user application is executed, which allows only approved content to be displayed on the main screen of the user application device. Unwanted data is still available if the user wishes to access it. The classifiers are trained with labeled data and with input parameters in addition to the labeled data.Custom models are trained with individual user data and transfer learning models. When unwanted content is detected, a report is sent to an entity that can provide assistance to the recipient for its handling.

[0013] However, these current methods of filtering and protecting against cyberbullying involve being able to interact with Application Programming Interfaces (APIs) associated with each of the social networks or messaging services installed in smartphones, which may have the consequence of making their effective deployment difficult.

[0014] The aim of the present invention is to remedy these drawbacks and limitations by proposing a new method of online protection against cyberbullying or toxic content, which presents a better level of efficiency and ergonomics than existing tools. Statement of the invention

[0015] This objective is achieved with a method for protecting a user of one or more social networks or video games against the risks of cyberbullying, this user having equipment connected to a communication network to access digital content from said social network or games. video or to receive digital content from one or more other users of said social network(s) or video game(s), comprising the following steps: - a semantic and contextual analysis of said digital content accessed or received, implementing artificial intelligence techniques, - processing of the results of semantic and contextual analysis to detect a situation of cyberbullying or toxicity of all or part of said content, implementing a database of predetermined situations, - in the event of detection of a situation of cyberbullying or toxicity of digital content, a display of the toxic digital content on the screen of the connected equipment.

[0016] According to the invention, this protection method further comprises: • upstream of the semantic and contextual analysis step, a step to collect (data mining) said digital content received from said network, and • in the event of detection of a situation of cyberbullying or toxicity, a step to enter into a blockchain a set of descriptive data of this cyberbullying or toxicity.

[0017] said collection step comprising as many digital content data mining processes as there are social networks to which the equipment is connected,

[0018] said semantic and contextual analysis step implementing a plurality of artificial intelligence brains each dedicated to a particular cyberbullying theme and operating simultaneously.

[0019] Descriptive data of cyberbullying or content toxicity can be edited in the form of a reporting report.

[0020] The protection method according to the invention may further comprise a prior check of the identity of the user to be protected, implementing encryption of the identity data entered by this user from the connected equipment, and implementing decentralized software tools on the Web3.

[0021] The protection method according to the invention may further comprise a step for accessing, from a second connected device, digital content received and detected as being related to cyberbullying or toxic on a first connected device, as well as a step for entering, from the connected device, a selection or a mention of one or more social networks or video game networks on which protection is sought.

[0022] When the protection method according to the invention is applied to participation in an online video game, the steps of semantic and contextual analysis and processing are further configured to detect a situation of cheating or toxicity in this video game.

[0023] According to another aspect of the invention, a system is proposed for protecting a user of one or more social networks or video games against risks of cyberbullying, implementing the protection method according to the invention, this user having equipment connected to a communication network to access digital content from said social network(s) or video game(s) or to receive digital content from one or more other users of said social network(s) or video game(s), this system comprising: - means for carrying out a semantic and contextual analysis of said digital content accessed or received, implementing artificial intelligence techniques, - means for processing semantic and contextual analysis results to detect a situation of cyberbullying or toxicity of all or part of said content, implementing a database of predetermined situations, - means for displaying, in the event of detection of a situation of cyberbullying or toxicity of digital content, the toxic digital content thus detected on the screen of the connected equipment.

[0024] The protection system according to the invention is characterized in that it further comprises: - means for collecting (data mining) said digital contents from a data stream received in said connected equipment, and - means (105) for recording in a blockchain (15) a set of descriptive data of this cyberbullying or this toxicity, in the event of detection of a situation of cyberbullying or toxicity, and

[0025] said semantic and contextual analysis means comprising a plurality of artificial intelligence brains (C1-C5) each dedicated to a particular cyberbullying theme and operating simultaneously.

[0026] The protection system according to the invention can advantageously be implemented within a dedicated server communicating via one or more communication networks, on the one hand, with one or more platforms operating social network services and, on the other hand, with a plurality of connected devices accessing these social network services and for which protection against cyberbullying is sought.

[0027] It may also include means for transmitting to a dedicated platform a notification of detection of a cyberbullying situation or information reporting a cyberbullying situation or a toxic message.

[0028] The treatment method according to the invention is advantageously implemented in the form of an application for combating cyberbullying and online toxicity, which can be downloaded onto any media (mobile / tablet / PC / console).

[0029] Using its Artificial Intelligence, the process analyzes public and private feeds on social networks added by its users and the hate they might receive. It analyzes conversations semantically and contextually to obtain results that match the user's wishes.

[0030] If a user faces real problems of cyberbullying, the application implementing the method according to the invention, supports him in his legal procedures and certifies his data to establish a file for filing a complaint with the competent authorities. The application is also there to help the victim find an association specialized in the fight against online toxicity.

[0031] The application is also suitable for online players for whom toxicity is recurrent by integrating itself on the platforms on which they are connected as well as on the video games allowing the solution to act.

[0032] The application also allows users and their designated guardians to be informed if they emit inappropriate contextual elements that could be considered toxic by their receivers.

[0033] This application is deployed using software tools available in the AWS universe, according to the architecture below:

[0034] The treatment method according to the invention implements: - an application fully designed for deployment on the cloud and Web3, multi-support and multi-social networks, - An AI implementing a plurality of brains each assigned to the detection of a particular typology of cyberbullying content, in contrast to the usual practice of using a single brain, - Assistance in the automatic editing of immutable evidence files and registration of content detected as cyber harassment (image / text / video / file / VOIP) in a blockchain. DESCRIPTION OF FIGURES

[0035] - [Fig.l] [Fig.l] is a block diagram of an exemplary embodiment of a cyberbullying protection system according to the invention; - [Fig.2] [Fig.2] illustrates the main stages of an example of realization of the protection method according to the invention; - [Fig.3] [Fig.3] illustrates an example of software architecture implemented in works in a protection system according to the invention; - [Fig.4] [Fig.4] illustrates the graphical interface principles implemented in the cyberbullying method according to the invention; - [Fig.5A] [Fig.5A] represents an example of a home user interface displayed on a smartphone of a user in which a cyberbullying protection application has been installed; - [Fig.5B] [Fig.5B] represents an example of a user interface for managing guardian and relative accounts; - [Fig.6] [Fig.6] represents an example of a user interface providing a user with functionality to add a tutor; - [Fig.7] [Fig.7] represents an example of a user interface inviting a user to connect to a social network, then informing him that a data analysis is undertaken; - [Fig.8] [Fig.8] represents an example of a user interface providing a summary of the analysis results as well as a functionality for adding a social network and a functionality for managing tutors, with toxic messages detected; - [Fig.9] [Fig.9] represents an example of a user interface providing a summary of the analysis results, in a configuration of non-detection of toxic messages; - [Fig. 10] [Fig. 10] represents an example of a user interface providing a display of the number of toxic messages emitted by transmitters and the content of these messages; - [Fig. 11] [Fig. 11] represents an example of a user interface configured to defend itself and file a complaint in the event of detection of a toxic message or cyberbullying; - [Fig. 12] [Fig. 12] represents an example of a user interface providing a user with functionality to send evidence of cyberbullying.

[0036] DETAILED DESCRIPTION OF AN EMBODIMENT

[0037] With reference to Figures 1 and 2, a system 1 for protection against cyberbullying according to the invention is implemented in a server 13 with which a database 14 is associated, and is connected via a shared network to a digital cloud 2 (usually referred to as Cloud) connecting a set of social network platforms 5 (or social media) including for example, but not limited to, Discord®, X® (formerly Tweeter®), Instagram®, TikTok® or Facebook®, and video game platforms 4 such as the Steam® platform.

[0038] The method of protection against cyberbullying according to the invention is used in a set of digital communication devices connected to the Cloud 2, such as smartphones 6-9,12 or tablets 10, in which a dedicated application has been installed. Some of these 8.9 smartphones can be connected to Cloud 2 resources via a router 11.

[0039] The mission of the system 1 for protection against cyberbullying according to the invention will be to protect users of smartphones or tablets 6-10 equipped with the protection application, against the malicious actions of people or organizations from servers 5 connected to the Cloud 2 and seeking to harm these users through one or more social networks or one or more video game platforms.

[0040] The protection system 1 is designed to transmit, in the event of detection of cyberbullying messages, messages and proof of reporting to dedicated servers 36 operated by sovereign authorities such as the police or the gendarmerie.

[0041] We will now describe, with reference to [Fig.2], an example of implementation and operation of the method of protection against cyberbullying according to the invention. It is assumed that an application dedicated to protection has been downloaded by a user of a smartphone 7 from a protection server 1 implementing the protection method according to the invention.

[0042] Once the dedicated application has been activated, the data streams entering the smartphone 7 from social network platforms to which the user is subscribed will be subjected to a data collection process 100 comprising data mining operations 130-134 each corresponding to a social network, for example Discord®, X®, Instagram®, Tik-Tok® or Meta® / Facebook®. These data collections on the different networks are made possible because the user and / or his guardian has previously provided the operator of the method for protection against cyberbullying according to the invention with the access identifiers for these networks.

[0043] The data thus collected by data mining are subjected to a semantic and functional analysis 101 of the contents received on this user account which will be carried out, either permanently or periodically according to a predetermined frequency. This analysis is carried out directly at the level of the protection server before the analyzed contents can be consulted from the user's smartphone 7.

[0044] This analysis 101 implements a set of artificial brains C1, C2, C3, C4, C5 each assigned a particular category of cyberbullying or toxicity.

[0045] An artificial brain is understood to mean a computer model, based on the simulation of the activity of populations of neurons, which possesses or develops cognitive faculties similar to biological brains.

[0046] If a malicious server 5 sends a cyberbullying message or one with toxic content to the protected user, one of the brains C1-C5 will detect 103, after analysis, a word, a transcription of a voice message, an expression, an image, a video or an Emoji® belonging to one of the categories associated with each of these brains.

[0047] The protection server 13 will then display 104 the contents of the messages detected as being cyberbullying or toxic content.

[0048] This is followed by a step 105 of recording descriptive data of this detection of cyberbullying or toxicity in a blockchain (or chain of blocks) 15 accessible by the protection server 13 via the Cloud 2 and a step 106 of editing a reporting report 107 intended to be transmitted to an administrative or official authority responsible for combating cyberbullying.

[0049] The detection data may include, for example, the content of the intercepted message, the date, time and origin (if technically possible) of this message.

[0050] In a configuration of the invention dedicated to the protection of minor users under the supervision of a parent or guardian, several options for implementing the protection method according to the invention can be provided.

[0051] The protection method according to the invention can be constructed, without limitation, from a software architecture 20 such as that represented by [Fig. 3]. Several basic modules of this software architecture can come from the AWS® (Amazon® Web Services) software offering.

[0052] The software architecture 20 implements a DNS domain name system that feeds data to a collaborative platform 27, a corporate website 22, an application DNS zone 23 and an administration DNS zone 24. The corporate website 22 of the protection tool controls a Corporate Web Framework 38 that receives information from a consent management unit 37 and a content management unit 45.

[0053] The application DNS zone 23 feeds data to an authentication platform 27, an application 28, a content delivery network CDN 29 and an email service 30. The application 28 controls a web application framework 39. The content delivery network 29 feeds a GraphQL® API 40 which transfers data to a transactional database 40. This transactional database 40 receives from a message collector 31, for example an AWS® Lambda® module, data extracted from information flows coming from social networks, for example from the X network or the Meta network. The administration DNS zone 24 controls an Administration authentication platform 32, an administration website 33, and a content delivery CDN module 34 which feeds a GraphQL API 42.

[0054] The software architecture 20 further comprises a daily management module “EveryDay” 27 which feeds a messaging system 35 associated with an image analysis module 36 as a service.

[0055] The transactional database 41 which receives data from both the application 40 and administration 42 GraphQL® APIs, feeds a data integration module 96 and transfers cyberbullying or toxicity detection data to an immutable database 48 or to a blockchain 15 with reference to [Fig.2].

[0056] Software modules are dedicated to payment and accounting functions and services, such as the Payment Provider module 95 associated with a Bank module 94, or the accounting module 97.

[0057] A software subset is dedicated to archiving and testing, including a Github® code repository module 119, a Github® CI / CD actions module 120, an infrastructure as code framework 122, a web end-to-end testing module 123 and a mobile end-to-end testing module 124.

[0058] As a non-limiting example of software implementation of the method for protection against cyberbullying according to the invention which has just been described, the message collector 31 can be carried out by a software unit of the AWS Lambda® type. This software unit is executed each time a user provides information on a social network, which allows high scalability regardless of the number of users.

[0059] The messages thus collected are then transmitted to the artificial intelligence of the protection system according to the invention, which implements the GraphQL® API 40, for analysis and detection of toxic messages.

[0060] The toxic messages thus detected are stored in a Néon® unit, marketed by AWS, which is a “serverless” PostgreSQL® solution. This Néon® unit constitutes the 4L transactional database

[0061] Toxic messages, along with various user information, are stored in a QLDB® 48 database that constitutes the AWS® Blockchain, which ensures data immutability.

[0062] The 93 data warehouse is implemented in the form of a Snowflake unit, marketed by AWS, which provides the Single Point of Truth function. All of the analysis and detection data points to the Snowflake® 93 data warehouse in order to have the most complete data set possible, which in particular makes it possible to deliver performance indices and contribute to marketing operations, and to be able to easily cross-reference data from various sources.

[0063] We will now describe, with reference to figures 4 to 12, several practical examples of steps for displaying graphical user interfaces on the screen of protected users or on that of a tutor or supervisor, by implementing the protection method according to the invention.

[0064] With reference to [Fig.4], these graphical user interfaces comprise, after downloading and installing a software application associated with the method of protection according to the invention, a step of displaying a home interface (I) which in particular allows access to an interface (la) for adding a relative of the user who will be able to supervise the implementation of the protection method and an interface (II) for adding a tutor who will be able to supervise the application.

[0065] Step (I) of displaying the home interface leads to a step (III) of displaying an interface for connecting to an account of a social network held by the user, with the possibility of accessing an interface (Va) for adding a new social network.

[0066] Connecting to a social network account will lead to a step (IV) of displaying an interface indicating the execution of an analysis of the data exchanged by the user in this social network, which will lead to steps (V, VI) of displaying interfaces presenting a summary of the analysis results, with the possibility of managing relatives and guardians intervening for the user.

[0067] From step (V) of displaying the results summary, the user or his tutor will be able to access a step (VII,VIII) of displaying the number of toxic messages and their respective contents. The user or his tutor can then access a step (IX) of displaying a defense operations interface leading to dedicated interfaces (X) for reporting a toxic message to a reporting platform and for issuing a complaint in electronic format directly on dedicated servers operated by sovereign authorities such as the police or the gendarmerie.

[0068] As non-limiting examples of design of the graphical user interfaces which have just been cited, with reference to [Fig.5A], a home interface 60 (I) comprises a menu 63 comprising a set of actions selectable by the user, including the action 61 of adding a relative, the selection of which leads to the display of a window 62 for entering an e-mail address of this relative.

[0069] With reference to [Fig.5B], an account management interface 260 (la) comprises a window 261 for selecting between “my tutors” and “my relatives”, a window 262 for entering an e-mail address of a tutor or a relative to whom an invitation will be sent by means of an action on the command icon 263. “Add a relative”.

[0070] If a user selects the action “Add a tutor” 71 in the action menu 73 of the home interface 70 shown in [Fig.6], an input window 72 is displayed (II) to allow the user to enter an e-mail address of a tutor that he wishes to add.

[0071] In order for the protection method according to the invention to be able to undertake the operations of detecting toxic messages, an interface 80 is displayed (III) to invite the user to enter personal data for connecting to a social network, for example Instagram, as illustrated in [Fig.7].

[0072] This connection to the social network has the consequence of initiating the operations of collection by data mining and analysis of the data thus collected (IV), which are announced to the user by displaying a notification interface 90.

[0073] When the plurality of artificial intelligence brains has completed its operations of analyzing and classifying the collected data, an interface 200 providing a summary of the analysis results is displayed (V), as illustrated in [Fig.8]. This summary interface 200 comprises a window 201 providing quantitative data 203, 204 on the number of toxic messages thus detected and on their proportion with respect to the total number of messages received, a window 202 indicating which social network is concerned by the current implementation of the protection method according to the invention and providing a functionality 205 for adding another social network, and a window 206 dedicated to the management of the tutors of this user.

[0074] If the functionality 205 for adding another social network is activated by the user, a network selection interface 240 is displayed (Va), with a window 241 for choosing favorite social networks and a choice icon or button 242.

[0075] The analysis of collected messages can also lead to the display (VI) of a summary interface 210 mentioning in a result display window 211 that no message has yet been collected for a social network displayed in a window 212, as illustrated in [Fig.9].

[0076] From the results summary interface 200, the user can request (VII) an interface display 230 listing the numbers 231, 232 of messages received respectively from certain senders 241, 242 on a previously chosen social network 243, for example the Instagram network. In response to a selection of a sender 241 by the user, the protection method according to the invention generates, with reference to [Fig. 10], an interface 240 provided to display data 247 on the number of toxic messages detected, and contents 244, 245 of these toxic messages.

[0077] This interface 240 for displaying toxic content also includes a “Defend myself” icon or button 246, the selection of which by the user will lead to a display (IX) of proposals for defense actions in an interface 220 represented in [Fig. 11].

[0078] This “defend me” interface 220 includes a window 221 for reporting a toxic message to a reporting platform such as Pharos and a window 222 for filing an online complaint with a dedicated platform. The reporting window 221 includes a “Defend me” icon or button 223, the selection of which leads to an automatic transfer of a file containing data relating to the toxic or cyberbullying message which is the subject of this report, while the complaint filing window 222 includes an icon or button 224 ... the selection leads to the display (X) of an interface 250 for choosing an e-mail address and sending evidence comprising two icons or buttons for choosing the police 251 or the gendarmerie 252, a window 253 for entering an e-mail address and a button or icon 254 for sending evidence by e-mail, as illustrated in [Fig. 12].

[0079] Of course, the present invention is not limited to the embodiment which has just been described, and many other embodiments can be envisaged without departing from the scope of the present invention. In particular, the number of artificial brains implemented in the protection method according to the invention is not limited to what has just been described. Furthermore, the structure of the detection data intended to be recorded in the blockchain can be of any nature, depending on the effectiveness of the semantic and contextual analysis techniques which are implemented. The same applies to the structure and practical content of the reporting reports and the graphical user interfaces, the form and arrangement of the information displayed of which can vary without departing from the scope of the invention.

Claims

1. Claims Method for protecting a user of one or more social networks (3) or video games (4) against the risk of cyberbullying, this user having equipment (6-10) connected to a communication network (2) to access digital content from said social network(s) (3) or video games (4) or to receive digital content from one or more other users of said social network(s) (3) or video games (4), comprising the following steps: - a semantic and contextual analysis (101) of said digital content accessed or received, implementing artificial intelligence techniques, - processing (103) of the results of semantic and contextual analysis to detect a situation of cyberbullying or toxicity of all or part of said content, implementing a database of predetermined situations, - in the event of detection of a situation of cyberbullying or toxicity of digital content, a display (104) of the toxic digital content on the screen of the connected equipment (6-10), characterized in that it further comprises: • upstream of the semantic and contextual analysis step, a step to collect (data mining) said digital content received from said network, and • in the event of detection of a situation of cyberbullying or toxicity, a step (105) for entering into a blockchain (15) a set of descriptive data of this cyberbullying or this toxicity. said collection step comprising as many digital content data mining processes as there are social networks to which the equipment is connected, said semantic and contextual analysis step implementing a plurality of artificial intelligence brains (C1-C5) each dedicated to a particular cyberbullying theme and operating simultaneously.

2. Method according to the preceding claim, characterized in that the descriptive data of cyberbullying or content toxicity are edited (106) in the form of a reporting report (107).

3. Protection method according to any one of the preceding claims, characterized in that it further comprises a prior check of the identity of the user to be protected, implementing an encryption of the identity data entered by this user from the connected equipment.

4. Protection method according to any one of the preceding claims, characterized in that it implements decentralized software tools on the Web3.

5. Protection method according to any one of the preceding claims, characterized in that it further comprises a step for accessing from a second connected device (12) digital content received and detected as relating to cyberbullying or toxic on a first connected device (6-10).

6. Protection method according to any one of the preceding claims, characterized in that it further comprises a step for entering from the connected equipment (6-10) a selection of one or more social networks (3) or video game platforms (4) on which protection is sought.

7. Protection method according to any one of the preceding claims, applied to participation in an online video game (4), characterized in that the steps of semantic and contextual analysis and processing are further configured to detect a cheating situation in this video game.

8. System for protecting a user of one or more social networks (3) or video games (4), against risks of cyberbullying, implementing the protection method according to any one of the preceding claims, this user having equipment (6-10) connected to a communication network (2) to access digital content from said social network(s) (3) or video games (4) or to receive digital content from one or more other users of said social network(s) (3) or video games (4), this system comprising: - means for carrying out a semantic and contextual analysis (101) of said accessed or received digital contents, implementing artificial intelligence techniques, - means for processing (103) results of semantic and contextual analysis to detect a situation of cyberbullying or toxicity of all or part of said contents, implementing a database of predetermined situations, - means for displaying, in the event of detection of a situation of cyberbullying or toxicity of digital content, the toxic digital content on the screen of the connected equipment (6-10), characterized in that it further comprises: - means for collecting (data mining) said digital contents from a stream of data received in said connected equipment, and - means (105) for entering in a blockchain (15) a set of descriptive data of this cyberbullying or this toxicity,in the event of detection of a situation of cyberbullying or toxicity, and said means of semantic and contextual analysis comprising a plurality of artificial intelligence brains (C1-C5) each dedicated to a particular cyberbullying theme and operating simultaneously.,

9. Protection system (1) according to the preceding claim, characterized in that it is implemented within a dedicated server communicating via one or more communication networks (2), on the one hand, with one or more operating platforms of social network services (3) and, on the other hand, with a plurality of connected devices (6-10, 12) accessing these social network services and for which protection against cyberbullying is sought.

10. Protection system (1) according to the preceding claim, characterized in that it further comprises means for emitting to a dedicated platform for reporting information on cyberbullying or toxic messages.

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