R&D

NEWS (May 2020)

Text Toxicity

As a result of work on expanding the functionality of the analytical system “Topic.sirius”, the tool “Toxicity of the text” was developed, designed to ensure information hygiene of the person. With its help, you can analyze an arbitrary text and determine its quality from the point of view of the potential impact on the perception of information by the reader.

Demo Link «Topic.sirius»: http://topic.sirius-iq.com/

Link to the Text Toxicity tool: https://topic.sirius-iq.com/topic.php?lng=ru&page=mknow&part=&post_type_id=&post_id=

To analyze the text, just enter or copy it into a special window and click the “Process” button.

Note: Today, material is processed in Ukrainian or Russian, up to 8 thousand characters.

Examples of screenshots of the system:

tox1

The result of a successful analysis will be a table indicating (in %) the main indices that determine the quality of the entered text.

tox2

Namely:

The coefficient of PR influence is an integral indicator, in percentage terms from a linguistic point of view, shows the degree of similarity of materials to “direct influence texts” (for a single message it is calculated on the basis of linguistic-statistical saturation of emotional and manipulative content; for the source and theme of the day as a characteristic of the whole corpus / sets of incoming messages)

Temper (Temperament) is an integral indicator that, based on the analysis of linguistic and statistical assessments of the content of messages, with a reliability of> 75%, shows the psychological / subjective characteristics of the author or their group in the preparation of materials.

Em (Emotionality) – in percentage terms, the score shows the presence of emotional vocabulary.

EV(Eventfulness) – in percentage terms, the score shows the presence of vocabulary characteristic for the presentation of factual material.

NE (Non-Eventuality) – as a percentage, shows the presence of vocabulary characteristic for the filing of author’s statements, opinions, subjective / expert assessments of events / processes / phenomena, etc.

MN (Manipulability) – in percentage terms, the score shows the presence of manipulative vocabulary.

NG (Negative) – in percentage terms, the score shows the presence of negative vocabulary.

PS (Positive) – in percentage terms, the score shows the presence of positive vocabulary.

 


NEWS (April 2020)

Sources of propaganda.

Within the framework of the joint project “Topic.sirius”, the ISED  and the consulting and analytical unit of the Intelligence Center, work continues on expanding the functionality of the analytical system “Topic.sirius”.

Demo Link: «Topic.sirius»: http://topic.sirius-iq.com/

Examples of screenshots of the system:

source1

Thus, a system in an automatic mode, based on content analysis, can identify sources of constructive and destructive propaganda.

source2

In addition, it is possible to view exactly which topics form the sources of propaganda in the information field.

source3


NEWS (Feb. 2020)

Our institute, in the continuation of the research work “Research of the characteristics of the information space created by news flows of electronic media”, developed the analytical system “Topic.sirius”, which allows you to collect and analyze data circulating in the information field, as well as evaluate the sources that disseminate it (see down: Interface screenshot of system).

“Topic.sirius” allows you to:

1. Assess the general situation in the information field of the country and exercise control over its changes.
2. To control and evaluate the work of media sources that form the information field in the country.
3. To identify internal and external sources of threats to information security.
4. To identify the initiators of targeted informational influence on the subject of the attack, his psychological state or image on the international scene, as well as the sources of information through which this effect is carried out.
5. Monitor global political, economic, military, environmental and other processes, as well as monitor the actions of countries disseminating information in order to obtain unilateral advantages.
6. Identify opinion leaders and opinion transmitters, as well as external opponents. Assess their quantity and quality. Define their goals, objectives and working methods.

Demo link on the analytical system “Topic.sirius”: http://topic.sirius-iq.com/

Interface screenshot of system:

Scan_R_D

                                                                                                                                                                                                                   

The Institute successfully carried out R&D:

“Research of the characteristics of the information space created by news flows of electronic media”.

As part of the ISED Institute’s R&D program for the development and implementation of automatic information and analytical systems to ensure the ecology of the information space of the state, we have developed an information technology for the study of information flows generated by electronic media.

The technology allows:
• Highlight the most important / resonant events (“Themes of the Day”) for the selected period (day).
• Conduct linguistic filtering of incoming content.
• Define and form thematic (linguistically defined industry, object, special) information flows.
• Evaluate both information flows and individual text messages for the presence of elements of influence (on the principle of “direct action text”) on the reader (emotionality, manipulative, factual, PR-influence, etc.) on the target audience.
• Separate the generalized content of information flows on the basis of: informing and having elements of analysis.

Several more R&D projects will be started at the Institute in the near future, which based on the positive results obtained.


Our Institute researches, stay and the analysis of features and regularities of social and economic development of the states; the influence of the environment on human health, etc. Researches are conducted by means of the information and analytical system developed by us, which belongs to systems of “artificial intelligence”. The automated system of multilevel transformation of information is the cornerstone of a Group Method of Data Handling (GMDH), which belongs to methods of inductive modeling and is one of the most effective methods of structural and parametrical identification of difficult objects, processes and systems according to supervision in the conditions of incompleteness of information.      

First of all our attention is focused on research of features of the country with the developed information economy as they are engines of world development.

Europe: Ireland, Sweden, Switzerland, Netherlands, Norway, Finland, Germany, UK and others.
Countries of the Middle East: The United Arab Emirates, Saudi Arabia, Kuwait, Iran and others.
The countries with the British-American model of development: the USA, Canada, Australia and New Zealand.
Countries of the Asian region: Japan, Singapore, Hong Kong, Korea, China and others.

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