=Paper=
{{Paper
|id=Vol-2588/paper22
|storemode=property
|title=Efficiency of Using Utility for Username Verification in Online Community Management
|pdfUrl=https://ceur-ws.org/Vol-2588/paper22.pdf
|volume=Vol-2588
|authors=Solomiia Fedushko,Yuriy Syerov,Oleksandr Skybinskyi,Nataliya Shakhovska,Zoryana Kunch
|dblpUrl=https://dblp.org/rec/conf/cmigin/FedushkoSSSK19
}}
==Efficiency of Using Utility for Username Verification in Online Community Management==
https://ceur-ws.org/Vol-2588/paper22.pdf
Efficiency of Using Utility for Usernames Verification in
Online Community Management
Solomiia Fedushko*[0000-0001-7548-5856], Yuriy Syerov[0000-0002-5293-4791],
Oleksandr Skybinskyi [0000-0002-8459-1420], Nataliya Shakhovska[0000-0002-6875-8534],
Zoryana Kunch [0000-0002-8924-7274]
Lviv Polytechnic National University, S. Bandera str. 12, 79013 Lviv, Ukraine
solomiia.s.fedushko@lpnu.ua, yurii.o.sierov@lpnu.ua,
nataliya.b.shakhovska@lpnu.ua
Abstract. The study deals with the methods and means of checking the reliabil-
ity of usernames of online communities on the basis of computer-linguistic
analysis of the results of their communicative interaction. The methodological
basis of the study is a combination of general scientific methods and special ap-
proaches to the study of the data verification of online communities in the
Ukrainian segment of the global information environment. The algorithm of
functioning of the utility “Verifier of online community username” is devel-
oped. The informational model of the automated means of checking the
usernames of online community is designed. The utility “Verifier of online
community username” data validation system approbation is realized in the
online community. The indicator of the data verification system effectiveness is
determined.
Keywords: online community, username, community management, content,
verification, information, efficiency.
1 Introduction
Taking into account the trends and dynamics of the development of online communi-
ties in the Ukrainian segment of the global information environment, the development
of software tools for managing the web communities is a priority. Despite the fact that
online communities accumulate a large amount of data and become more popular
among web users, web verification software is still incomplete, formal, superficial,
and reduces to data matching and checking for certain formal features (for example,
software tools that are designed for video verification, verification of veracity of
metadata and search for users in social networks, etc.). The scientific task of develop-
ing methods and means of verifying the authenticity of personal data of users of
online communities, in particular their nicknames of online users, on the basis of
computer-linguistic analysis of information content is an actual direction of scientific
research in the field of computer linguistics.
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribu-
tion 4.0 International (CC BY 4.0) CMiGIN-2019: International Workshop on Conflict Management in
Global Information Networks.
The program implementation of verifying the authenticity of the data of online com-
munications’ users by means of computer-linguistic analysis of information traces of
online users is one of the important tasks of researches on the Internet, mathematical
linguistics and related scientific fields.
The purpose of the study. The purpose of the work is to develop new methods and
means of checking the reliability of the usernames of online communities by the re-
sults of computer-linguistic analysis of information traces of users in online commu-
nities.
The object of research. The object of research is the processes of communicative
interaction of users of online communities.
The subject of the study. The subject of the study is the methods and means of check-
ing the reliability of usernames of online communities on the basis of computer-
linguistic analysis of the results of their communicative interaction.
Research methods. Studies performed during work on the basis of applied methods
and mathematical linguistics (structural analysis methods for studying the information
content of users in online communities and methods of analyzing online content
aimed at the study of verbal characteristics of texts). Simulation of the information
scheme of the dictionary and software for verifying the nicknames of the user of the
online community is accomplished with the help of diagrammatic structural modeling
tools.
2 Development of utility for verifying online community
username
Developing a new approach to username validation, provided by the user of online
community during registration, is an urgent issue in managing e-government, distance
learning and moderating the online community, media resources, social networks,
encyclopedias, blogs, and more. According to the increasing number of users of these
resources in the network and the popularity of social communications there is a need
to develop a method of computer-linguistic verification of personal data by social
communications. One of the areas of research is to develop methods for validating the
username of a potential participant in a web service.
To perform the computer-linguistic verification of the usernames of the online
community, the algorithm of functioning of the utility “Verifier of online community
username” was developed (see Fig. 1).
The algorithm of this utility is intended for verification of registration data in
online communities and has been successfully implemented in the work of several
online communities.
1
Begin 1 2
2 11
Enter the 10
Nickname not Ні Applicant's
applicant's
information is
nickname prohibited
blacklisted
3 Yes
Check nickname 12
applicant Nickname
blacklisted validation on
users Community
Nicknames Base
4 14
Nickname No 13 Clarification of
not found Verification No the correctness
successful of applicant's
Yes nickname
5 Yes
Nickname check 16
for online 15
community list Correctness No Refusal of
is confirmed registration
7
6 Yes
No similar No 18 17
The requirement
nickname Administrator
to change data Niickname of
found receives a
usser has been
proposal to add
Yes verified
to the database
8
No
Data was 19
changed Registratio
9
Checking a n
nickname in DB Yes applicant
of forbidden
words
20
End
1 2
Fig. 1. The scheme of algorithm of utility “Verifier of online community username” process
─ Checking the username field in the online community registration form.
The online community registration form is required to specify a username. Username
is the unique name of the web member in the online community. The choice of
username depends on the level of communicative behavior of the user in the online
community, the authority of the user among other users of the online community.
Optimal for the effective functioning of the online community are the requirements
for the formulation of the name of members of the online community is format as
“First Name. Last Name”. The process of checking the online community username
field for compliance with the “First Name.Last Name” is includes checking the
“username” field according to the algorithm of processing utility “Verifier of online
community username”.
─ Checking informationn in the online community database.
According to the algorithm of process of utility “Verifier of online community
username” the Internet username verification is performed in the following databases:
DB “Prohibited content” is created by administrators at the beginning of the crea-
tion of the online community according to the established rules in the online com-
munity.
DB “Blacklist of online community users” is a list of all names of community us-
ers, who have chosen an internet name that is inappropriate with the online com-
munity's rules of procedure and is not desired to change the data to correct in the
stage of validation of Internet user name. This list is designed to save time of ad-
ministrators and moderators, to reduce the cost of community moderation.
DB “Usernames list of online community users” is a list of names of all registered
online community users that automatically determines the usernames' correctness,
defines the spelling language, and avoids duplication of the names of online com-
munity members, which will not cause problems with the identification of online
community members. Administrators regularly update these databases.
─ Results of the analysis of the username of the online community.
If the user followed all the rules of the community and provided accurate information,
it successfully completed the registration. Otherwise, the user will hardly be denied
registration.
Functioning utility “Verifier of online community username” solves the problem of
automating the process of validating usernames of online community. Information
automated model of utility for checking online community usernames “Verifier of
online community username” described in further work.
Specialized utility “Verifier of online community username” is designed for pre-
registration and post-registration verification of Internet names of users of the online
community. The name of the online community users indicates when registering in
the community and automatically places an account and is covered under each post by
the author in communicating with other users of the online community.
A method for verifying the Internet name of a user in the online community has been
developed as the basis for the implementation of the utility “Verifier of online com-
munity username”.
The software for the analysis of Internet names solves the following tasks:
online registration of the online name in order to avoid duplication of names;
filtering registered web attendees according to the criteria for choosing Internet
names in accordance with the rules introduced in the online community;
verification of the correctness of the identification of such personal data as the
name and surname of the user, the geographical location, the e-mail address and all
additional contact information;
post-registration computer-linguistic analysis of avatar, browser, biography, signa-
ture and web user status.
So, an important mechanism for verifying the veracity of web users' data is the use of
an automated checking tool for the online user of the online community. We model
the information model of this automated means with the help of the unified data rep-
resentation tool - the diagrams (see Figure 2).
The information model is executed according to Barker's notation and contains 5 enti-
ties that are linked by “one-to-many” links. The “Blacklist of Users” essence contains
information about users of the online community that violated the system of rules of
communicative behavior of users of the online communities and to which the com-
munity administration has applied the highest level sanctions. The most important
attributes: the “User's Online Name” attribute contains the Internet name of the users
of the Sun and the attribute “Sanctions Code” contains information on the sanctions
that are introduced to the Sun users.
The “User” essence contains the basic information about the user of the online com-
munity: the class and level of the anonymity of the user, the internet-name code, con-
tacts and the date of registration.
Black list of users Deviation
# Identifier # Identifier
* User's nickname * Type of deviation
* Lock date * Sanctions
* Content
* Code sanctions
Prohibited content
# Identifier
* Content unit
* Substitute
User * Deviation code
# Identifier
* Nickname code Username
* Email # Identifier
* Registration date * Name
* Participant class * Surname
* Level of anonymity * Login
* Note * Nickname
* Status
Fig. 2. Informational model of the automated means of checking the usernames of online com-
munity
The essence of Deviation includes information on violations of the rules of communi-
cative behavior of users of online communities and the application of appropriate
sanctions contained in the Sanctions Attribute.
The “Prohibited Content” essence contains information about all possible prohibited
content for publishing in the online community.
All information about the names of the users of the online community is contained in
the “Username” entity.
According to the information model, the effectiveness of the results of the automated
means of checking the Internet name of the user utility “Verifier of online community
username” directly proportional to the filling of the three databases. The filling of
these databases is the result of the computer-linguistic validation of Internet user
names of online communities.
The functionality of utility “Verifier of online community username” is based on the
following components:
Component of registration and validation of personal data;
Component of the analysis of usernames of online community.
2.1 Registration and validation component of personal data
Registration and validation component of personal data is intended for validation of
the data both at the registration of the user, and already registered user, who for some
time has already participated in network communication with other online community
users. This verification of the truthfulness and correctness of data is realized in ac-
cordance with the algorithm of registration and validation.
The component performs the following tasks:
classification of online users by the authenticity of personal data;
introduction of the new registration methods, which allowed to eliminate the soon-
to-be problematic users of the community;
development of a validation method of personal data, which allows you to select
users whose actions need to be permanently monitored.
The automated solution to these tasks facilitates more efficient functioning of the
online communities and systematization of their moderation (administration) process,
which, as a result, reduces the time and money, spent on management and increases
the competitiveness of the online community.
2.2 Analysis component of the online users’ Internet names
Component’s functioning is based on the algorithm of the computer-linguistic valida-
tion of the online community users’ Internet names. The basic analysis stages of the
online community users’ Internet names are demonstrated in the component’s func-
tioning scheme of utility “Verifier of online community username” (see Fig. 3).
The primary task of the utility “Verifier of online community username” is to check
the data availability in such databases: forbidden content, blacklist of the VC users
and the online community usernames list.
Checking for availability in databases
ONLINE
FORBIDDEN BLACK LIST OF
COMMUNITY
CONTENT ONLINE USERS
NICKNAMES
COMPUTER-LINGUISTIC ANALYSIS RESULTS OF
VALIDATION OF OF NICKNAMES OF
NICKNAMES OF ONLINE ONLINE COMMUNITY
COMMUNITY USERS USERS
Fig. 3. The functioning scheme of utility “Verifier of online community username”
The user interface of the utility “Verifier of online community username” is shown in
Fig. 4.
Fig. 4. The utility “Verifier of online community username”interface
The result of a result of registration process of usernames is shown in Fig. 5.
Fig. 5. The result of registration process of usernames of online community
This component’s results are the outputs of the utility “Verifier of online community
username” and the report based on them is generated for the moderator (the online
community administrator).
Based on this report, when data verification level is low or the expectancy of false
personal information in the account is high, or when Internet name is incorrect, the
administrator may choose to automatically send a warning message with the require-
ment to provide reliable data, or even block the user account of the online community.
3 Research results approbation
The priorities of the online community's functioning are determined by the owners at
the project development stage, which depends on the chosen topic and the community
development scenario. The task of filtering the users of online community on the
basis of truthfulness and data correctness emphasizes the quality and validity of the
online community’s information content, and the number of users is already a second-
ary factor. The users’ personal data verification resulted in the transition of online
communities to a qualitatively new functioning stage, where the priority is used by
active online users who provide personal data with a high level of reliability and au-
thenticity in general and the Internet name in particular.
Use the results to improve popular online communities’ management. One of the
important results of this work is the development and program realization of the soft-
ware complex of computer-linguistic reliability analysis of the online user’s socio-
demographic characteristics. The utility “Verifier of online community username”
data validation system approbation was realized in the online community.
Fig. 6. Online community users’ classification
The results show that 23% of the online community users (out of a total of 4708 us-
ers) provided reliable information in their accounts. 28% of users updated their cre-
dentials in the accounts, although 3% did not change their internet names at the ad-
ministrators’ request. However, due to their authority in the community and active
and high-quality Internet communication, the administration did not apply sanctions
to them. 4% of community users' accounts are blocked due to online community rules
violation and actions that affect the effective functioning of the online community.
42% of the accounts are under constant moderation.
The effectiveness of the verification system shows that the workload for the modera-
tors of the personal data verification is reduced by 2-3 times depending on the online
community type, respectively, and the reduction of time and financial costs for ad-
ministering online communities is essential.
The indicator of the data verification system effectiveness is determined as follows:
Efficiency
N VerPD , N VerPD N LAdequacy APD , (1)
N LAdequacy
VerPD APD
N
where N LAdequacy
APD
is the number of online based user accounts with low
VerPD
data adequacy, N is the total number of verified online users’ accounts.
Compared with the practice of expert verification of the online communities’ users’
personal data authenticity, the results can increase the effectiveness of the overall
process of their management by 20-30% depending on the online community specif-
ics.
4 Conclusions
There was created the complex of means of authenticity checking of usernames of
online community by verifying the users’ data and theirs information content of web.
The task of the utility is to increase the moderation efficiency of online communities
in the following directions: online community management, cybersecurity, targeting
of internet-advertising, profitability of the community support project. Thus, consum-
ers of the utility “Verifier of online community username” can be owners of online
communities. The utility involves execution of individual tasks in an automated
mode, but in any case, the results of its activities are informative.
Basically, the utility is a decision support mean for a community management special-
ist in the field of processing the personal data of users in the online community.
Requirements to the software complex are formulated on the basis of the international
standard ISO-9126, which is acknowledged in the world and in Ukraine and concerns
the quality and efficiency of software products. In particular, the standard defines the
following criteria for software systems: functional possibilities, reliability, practicabil-
ity, efficiency, extension, and mobility. Some features of the means are solved within
the existing today software packages or libraries (for example, basic parsing of hyper-
text – parsing). Implementation or algorithmic description of some applied elements
of the complex, which go beyond the scope of research, is available only for individu-
al human languages (most often English). However, provided that such implementa-
tions are introduced for other languages, they can be implemented in the complex.
References
1. Bilushchak, Т., Peleshchyshyn A., Komova, M.: Development of method of search and
identification of historical information in the social environment of the Internet. In: 11th
International Scientific and Technical Conference on Computer Sciences and Information
Technologies, CSIT 2017, pp. 196–199. Lviv (2010).
2. Druzhynin V. N. Experimental psychology. Piter, St. Petersburg (2002).
3. Erz, A., Heeris Christensen, A. Transforming Consumers in to Brands: Tracing Transfor-
mation Processes of the Practice of Blogging. Journal of Interactive Marketing 43, 69–
82 (2018). DOI: https://doi.org/10.1016/j.intmar.2017.12.002
4. Fachin, J., Araújo, N. C. Specialized open access information sources. Informacao e So-
ciedade 28(3), 35–52 (2018). DOI:10.22478/ufpb.1809-4783.2018v28n3.38421.
5. Fedushko, S., Syerov, Yu., Korzh, R.: Validation of the user accounts personal data of
online academic community. In: 13th International Conference on Modern Problems of
Radio Engineering, Telecommunications and Computer Science, TCSET 2016, pp. 863–
866. Lviv-Slavske (2016). DOI: 10.1109/TCSET.2016.7452207.
6. Fedushko, S.: Development of verification system of socio-demographic data of online
community user. Radio Electronics Computer Science Control 3, 87–92 (2016).
DOI:10.15588/1607-3274-2016-3-11.
7. Huang, J. X., He, B., & Zhao, J. Mining authoritative and topical evidence from the blog-
osphere for improving opinion retrieval. Information Systems 78, 199–213 (2018).
DOI:10.1016/j.is.2018.02.002.
8. Ilhanaieva V.A. Social communications: a dictionary. Kharkiv (2009).
9. Ishfaq, U., Khan, H. U., Iqbal, K. Identifying the influential bloggers: A modular approach
based on sentiment analysis. Journal of Web Engineering 16(5-6), 505–523 (2017).
10. Khaken H. Synergetics. Mir, Moscow (1980).
11. Khan, H. U., Daud, A., Ishfaq, U., Amjad, T., Aljohani, N., Abbasi, R. A., & Alowibdi, J.
S. Modelling to identify influential bloggers in the blogosphere: A survey. Computers in
Human Behavior 68, 64–82 (2017). DOI:10.1016/j.chb.2016.11.012.
12. Korobiichuk, I., Fedushko, S., Juś, A., Syerov, Y.: Methods of Determining Information
Support of Web Community User Personal Data Verification System. In: Szewczyk R.,
Zieliński C., Kaliczyńska M. (eds) Automation 2017. Advances in Intelligent Systems and
Computing, vol. 550, pp 144–150. Springer (2017). DOI: 10.1007/978-3-319-54042-9_13.
13. Kryvenchuk, Y., Shakhovska, N., Shvorob, I., Montenegro, S., Nechepurenko, M. The
smart house based system for the collection and analysis of medical data. CEUR
Workshop Proceedings, 2255, pp. 205-214 (2018).
14. Boyko, N., Pylypiv, O., Peleshchak, Y., Kryvenchuk, Y., Campos, J. Automated document
analysis for quick personal health record creation. CEUR Workshop Proceedings, 2488,
pp. 208-221(2019) .
15. Gnatyuk S., Multilevel Unified Data Model for Critical Aviation Information Systems
Cybersecurity, Proceedings of 2019 IEEE 5th International Conference Actual Problems of
Unmanned Aerial Vehicles Developments (APUAVD 2019), p. 242-247.
16. Gnatyuk S., Kinzeryavyy V., Kyrychenko K., Yubuzova Kh., Aleksander M., Odarchenko
R. Secure Hash Function Constructing for Future Communication Systems and Networks,
Advances in Intelligent Systems and Computing, Vol. 902, pp. 561-569 (2020).
17. Gnatyuk S., Akhmetov B., Kozlovskyi V., Kinzeryavyy V., Aleksander M., Prysiazhnyi D.
New Secure Block Cipher for Critical Applications: Design, Implementation, Speed and
Security Analysis, Advances in Intelligent Systems and Computing, Vol. 1126, pp. 93-104,
(2020).