CONSUMER PRIVACY BEING RAIDED AND INVADED
The Negative Side of Mobile Advertising
Monika Mital
Jaipuria Institute of Management, Lucknow, India
Keywords: Mobile Human Computer Interaction, Mobile Advertising, Message Characteristics, Device Characteristics,
Situation Characteristics.
Abstract: There have been growing concerns regarding mobile advertising being extremely intrusive into the personal
space of the consumers. The study tries to broadly concretize the reasons as to why mobile ads are found to
be intrusive. The analysis reported that three factors namely: situation characteristics, message
characteristics and device/network characteristics, played an important role in defining the extent of
intrusiveness of mobile advertising and the ad irritation arising out of it.
1 INTRODUCTION
In the recent years there has been an exponential
growth in the usage of mobile devices. The adoption
of mobile devices has been 3.3 billion by the end of
2007 and a penetration rate of 49% which is much
higher than the penetration rate of any other
technological innovation (Gartner, 2007). In India
the annual average growth rate of mobile usage is at
22 percent, with 154 million new subscribers
annually. In comparison to the internet there is a
significant growth in mobile usage worldwide. The
mobile advertising market is expected to rise to $
16.2 billion by 2011, which is up from $2.7 billion
in 2008 .With these kinds of figures it is expected
that mobile advertising is going to be a very
effective form of marketing communications in the
coming years. In Comparison with traditional
advertising, the main advantages of mobile
advertising are: personal touch, tailor-made to suit
individuals, and hence can be considered cost
effective. Mobile advertising can reach the target
customers anywhere anytime, with accessibility,
frequency and speed of communication being some
of the advantages afforded by the medium. The most
popular mobile application, referred to as text
messaging or Short Message Service (SMS). Studies
reveal that mobile advertising campaigns can
generate responses that are as high as 40%,
compared with a 3% response rate through direct
mail and 1% with internet banner ads (Jelassi and
Enders, 2004).
Cellular services are individual utilitarian services
and the purpose is mainly to fulfill certain
communication and information needs of the users
(Ng, Russell-Bennett and Dagger, 2007). In
Individual services, the consumer can determine
start and leave times, duration and timing of use.
When the telecommunication device like a cell
phone is used for advertising (Mobile advertising)
there is no control of the individual on the
consumption. As a result, since mobile phone is a
very private device, there are perceptions of
intrusiveness when the customer has no control over
the consumption of the mobile advertising service
(Haghirian & Madlberger 2005; Jelassi & Enders
2004). Growing concerns about the protection of the
users' privacy have been raised since mobile
advertising may become extremely intrusive in an
intimate personal space (Cleff 2007, Zwass 1996).
2 LITERATURE REVIEW
Mobile consumers are very sensitive toward
receiving messages from unknown persons or
organizations and are uncomfortable with mobile
advertising (Siau & Shen, 2003). Invasion of privacy
and general security concerns relating to the mobile
medium have been identified as one of the main
obstacles to the success of mobile advertising
(Gohring, 2002). Mobile users are concerned about
unauthorized data access, data manipulation, and
unwanted tracking of usage patterns. Godin (2001)
117
Mital M. (2010).
CONSUMER PRIVACY BEING RAIDED AND INVADED - The Negative Side of Mobile Advertising.
In Proceedings of the 12th International Conference on Enterprise Information Systems - Human-Computer Interaction, pages 117-123
DOI: 10.5220/0002844601170123
Copyright
c
SciTePress
described that a majority of anonymous mass
advertising is despised by consumers leading them
to reject the messages.
Li et al (2002) discusses how negative reactions like
irritation arise through intrusion advertising.
Consumer perceptions of intrusiveness or acceptance
of a channel influences the consumer’s
responsiveness to marketing communication
(Abernethy 1991). If the consumer considers
marketing communication via a channel as
disturbing it may negatively affect the attention to
and perception of the message. Perceived clutter,
hindered search, and disruption were related to less
favorable attitudes and greater ad avoidance (Elliot
and Speck 1998). Edwards et al. (2002) found ad
intrusiveness to be a good predictor of ad irritation
and ad avoidance which can both significantly
hamper the effectiveness of an ad. Ad avoidance
could also mean putting the sender of an intrusive
and/or irritating mobile ad on a mobile spam list so
that future ads will be blocked or instantly deleted.
Situation Characteristics. Lack of Relevancy. But
it has been found time and again that relevant mobile
ads are perceived as less intrusive than irrelevant
mobile ads. Consumer attitude towards any
technology intervention is guided by their
perceptions of utility. Lack of relevancy and
contextualization has been found to be the key
reasons for perceptions of intrusiveness. Lack of
features such as location based services, self deletion
of ads, and access to more information can reduce
the perceived intrusiveness of the mobile as a
medium of advertising (Junglas 2007). The key is to
use interactive wireless media to provide customers
with time- and location- sensitive, personalized
information that promotes goods, services and ideas,
thereby generating value for all stakeholders
(Dickinger, Haghirian, Murphy, & Scharl 2004).
The mobile advertising relevance can be influenced
by the contextualization of advertising messages
(Kenny & Marshall 2000). Barwise & Strong take
up the flexibility, and time-based nature but also the
fact that the small screens restrict the length of the
message (Barwise & Strong 2002). Barnes stresses
the interactive nature of mobile advertising and the
ability to use contextual information to target the
messages to individual receivers, in other words to
personalize the message (Barnes 2002). Location-
aware advertising messages are creating five to ten
times higher click-through rates compared to
traditional internet advertising messages (Ververidis
& Polyzos 2002). These results underline the
importance of precisely embodying mobile
marketing messages and campaigns according to
consumer entertainment and information
requirements.
Consumers differ in their tolerance for unsolicited
commercial communication: consumers rather
tolerate communications pertaining to products and
services in which they are interested as opposed to
products and services in which they have little
interest (Petty Ross, 2003).
Message Characteristics-lack of Proper Content.
An individual’s mobile media purpose is his
acknowledgment of the processing goal he is
pursuing when attending to his mobile device, which
in this case is the medium for mobile advertising.
For example, if the customer’s main intention is
gathering information, the customer will be more
interested in advertisements that provide him
relevant information on products, services or
companies.
On the other hand, if the customer’s intention is
garnered more toward entertainment, he will enjoy
advertisements that are entertaining and provide
experiential satisfaction through aesthetic pleasure,
emotional stimulation, or social experience (Barwise
& Strong, 2002). A consumer may wish to satisfy
different kinds of purposes at the same time, and the
relative importance of the types may change
according to the situation that he is in. Katz et al.
(1973) identify the following three categories of
needs as being the most important: 1) information;
2) Entertainment; and 3) Communication.
The higher the entertainment/information factor of
mobile advertising messages, the higher the
perceived advertising value to the consumer
(Haghirian et al., 2005).Perceptions of usefulness
can have a lasting impact on the acceptance of
mobile advertising. The perceived entertainment,
informativeness, irritation, and credibility of mobile
ads affect the attitude toward mobile advertising
(Tsang, Ho, and Liang 2004, Lee and Jun
2005).Consumer have been found to differ in their
tolerance of unsolicited commercial communication
depending upon their interest in the product or
service (Petty Ross 2003). According to Edwards et
al. (2002), ads which are more entertaining or
informative are perceived as less intrusive.
Device/Network Characteristics-Privacy
Violation. Most of the users would be bothered
about marketers or other people knowing what they
are interested in (Kaasinen,2003). One of the main
challenges and opportunities for mobile advertising
companies is to understand and respect the personal
nature of the usage of mobile phones (Palmer &
O'Neill, 2003; Barnes& Scornavacca 2004;
Heinonen & Strandvik 2007; Barwise & Strong
ICEIS 2010 - 12th International Conference on Enterprise Information Systems
118
2002). The well meaning contextualized and
personalized advertisements may in reality be
encroachments to the privacy of individuals. And
also, it was found that when an offered technology
intervention would not meet customer expectations
(properly contextualized), it would not create strong
positive sentiments among the users (Akçura and
Altinkemer 2002).
If the messages are sent to the mobile user at the
right time and location and are relevant to the needs
of the user, the message intrusiveness can be
reduced (Gratton 2002). Although message
characteristics and relevancy of the ad has been
found to be closely related to reduced perceptions of
ad intrusiveness (Wehmeyer 2007), but at the same
time using user profile and location data without
permission can also lead to privacy invasion
(Cranor1999). Personalization mechanisms gather
information about user’s interest, navigation paths,
purchases, tracking previous behavior and also
asking users to fill in questionnaires and forms
(Georgiadis, mavridis and manitsaris 2005, Kaasinen
2003). Barkhuus and Dey(2003) investigated user’s
perceptions about usefulness and concern with
location tracking services and found that these
generated concerns for privacy.
There are pervasive service providers who would
deploy a variety of sensors in the user
environments to detect or track various contexts
like location of people, temperature and
activities of people or groups of people with the
purpose of sending information or advertisements.
There are a variety of ways of sending information
to an individual like instant messaging, email,
voice-mail, cell-phone, speech, displays (either
personal monitors or wall displays), network TV,
electronic billboards, etc (Ranganathan &
Campbell 2002). Sometimes, just participating in the
networked world would hamper the privacy of user,
without any deliberate attempts at information
disclosure. For example while searching through the
internet, sending an SMS to a friend, downloading
ring tones or music etc. the users are letting out
personal information like personal preferences and
use patterns (Palen and Dourish 2003).
Mobile spam, personal identification, location
information and wireless security are some of the
issues related to privacy. Mobile spam has been
found to be great cause for concern with mobile
users as they are unsolicited, sent in bulk, repetitive
and motivated by financial gain for the sender at the
cost of the receiver(Camponovo and Cerrutti 2004).
Negative thoughts about tactic inappropriateness
were seen to arise with repetition(Campbell and
Keller 2003).
3 RESEARCH OBJECTIVES
The primary objective of this research study is to
gain an insight into the perception of mobile users
towards mobile advertising. The study attempts to
explore intrusiveness of mobile advertising. The
total variance accounted for by each of the six
components explains nearly 71% of the variability in
the original 13 variables. So we can reduce the
original data set by using these three components
with only 29% loss of information.
Looking at the Table 1, the rotated factor matrix, and
the study shows three factors (which represent the
three perceptual dimensions about mobile
advertising) derived from 13 variables (which
represent the perception of mobile users towards
mobile advertising). The components of each factor
are shown highlighted in Table 1.
The factor analysis identified 12 items in three
groups, as Factor 1, Factor 2 and Factor 3, and the
Cronbach reliability alpha coefficient for the 12-item
scale was 0.703. We then investigated further
optimization of the instrument by examining the
reliability coefficient of each factor independently.
We then found that the 3-item Factor 1 had a
reliability coefficient of 0.788, 4-item Factor 2 had a
reliability coefficient of 0.811, 5-item Factor 3 had a
reliability coefficient of 0.834.Kaiser-Meyer-Olkin
Measure of Sampling Adequacy statistic of .820
seems to indicate that factor analysis will be useful
for the current study.
Looking at Table 3 we find that the variables;
mobile ads being less informative , not suiting
personal needs , inappropriate timing , and clutter
are loaded to factor 1 and since all the factors are
related to situational lack of relevancy, this factor
can be labeled ‘Situation Characteristics’.
Factor 2 has components; brand related information,
sales/promotion related information, and
product/services related information. Since all this
components are related to content of mobile
advertising, this factor can be labeled ‘Message
Characteristics’ of mobile ads.
Factor 3 has components related to disturbance
caused due to mobile advertising and privacy
violation because of the nature of the mobile device
and the information capturing network mechanisms;
this factor can be labeled ‘Device/Network
Characteristics’ due mobile ads.
CONSUMER PRIVACY BEING RAIDED AND INVADED - The Negative Side of Mobile Advertising
119
Table 1: Rotated Component Matrix .
Style of Advertising
Component
1 2 3
I find mobile ads less
informative
.622
-
.127
.133
Most of the times the
mobile ads do not suite my
needs
.808
-
.128
.039
Most of the times the
mobile ads are relayed at
the wrong time
.764
-
.050
.171
I am facing the problem of
clutter as a result of too
many ads
.608 .021 .284
I feel that mobile ads
cause disturbance in work
.537
-
.094
.463
As soon as I get an ad I
junk it without going
through it
.295
-
.158
.650
I find it time consuming to
go through ads
.344
-
.101
.695
I find brand related
information useful
-.244 .656
-
.141
I find information about
sale/special promotions
very useful
-.113 .694
-
.066
I find information about
products /services very
useful
-.096 .779
-
.045
I find ads on the mobile
repetitive in nature
-.003 .082 .615
I expect communication
on my mobile through
very important contacts
only so I do not like
encroachment on my
privacy through ads
.030 .033 .773
An ANOVA analysis was conducted to find out the
impact of mobile advertising on the perceptions of
intrusiveness. An R
2
value of .434 indicates a strong
significant impact of the mobile advertising on the
perceptions of intrusiveness. It was found that the
impact of situation, message and device/network
characteristics had a significant impact on the
perceptions of intrusiveness (Table 2).
A One-way ANOVA was conducted to find out
whether perceptions about mobile advertising varied
with age. It was found that there was a significant
impact of age on the perceptions of privacy violation
(p value<.05) but respondents of all age groups had
the similar perceptions about lack of relevancy and
lack of proper content ( p value>.05).
Table 2: ANOVA: Analysis to find out the impact of
mobile advertising on perceptions of intrusiveness.
B S.E Beta Sig.
(Constant) 3.63
9
.048 .000
Situation
Characteristics
.481 .048 .377 .000
Message
Characteristics
.227 .048 .178 .000
Device/Network
Characteristics
.475 .048 .373 .000
Also a one-way ANOVA was conducted to find out
the impact of busy work schedule on perceptions
about mobile advertising. The results indicated a
significant impact of busy work schedule on the
perceptions of lack of proper content. It was found
that the respondents who had busy work schedules
gave more importance to information richness of
ads.
4 DISCUSSION
The results of the study show that there are
perceptions of intrusiveness amongst the users.
These perceptions arise as a result of three factors:
lack of relevancy, lack of proper content and privacy
violation. The perceptions of lack of relevancy of
mobile ads arise as a result of lack of proper timing
of relay of the ads, lack of localization and
contextualization of ads. This corroborates with the
findings of Junglas (2007), according to whom
features such as location based services, self deletion
of ads and contextualization can reduce the
perceived intrusiveness of the mobile as a medium
of advertising. Also, since it was found that there
was a moderately significant impact of lack of
relevancy on the perceptions of intrusiveness, and
Almost 90% of the users felt that mobile advertising
was an encroachment into their personal private
space we can say that the users felt that their privacy
was being invaded. The results of the study indicate
that lack of relevancy of ads was found to be a
predictor of irritation (p value<.05) and ad
avoidance (p value<.05) (As soon as I get an ad I
junk it without going through it). Ad avoidance
could result in putting the sender on the spam list so
that all future ads were blocked or instantly deleted
(Edwards et al 2002).
The respondents feel that Lack of proper message
content leads to feelings of irritation and create
perceptions of intrusiveness in the minds of the
ICEIS 2010 - 12th International Conference on Enterprise Information Systems
120
users. Previous studies have reported that the utility
of advertising messages can lead to a reduced
perception of intrusiveness. Advertising messages
that give useful information to the users are more
acceptable than messages without any utility value.
A one way ANOVA conducted to find out the
purpose of using mobiles (using mobile as a medium
of communication/information/entertainment) and
their impact on perceptions of users about mobile
ads showed that when the users use mobile as a
medium of information access, they found message
characteristics as an important factor in determining
their attitude towards mobile ads. When the mobile
was used as a medium of
communication/entertainment, then situation,
message, and device/network characteristics played
an important role in determining attitude of the
users(p value<.05).
It was found that in spite of perceived usefulness of
mobile messages, perceptions of intrusiveness
resulted from device/network characteristics. The
personal nature of the mobile device gave rise to
feelings of privacy violation. If the mobile service
providers used pervasive sensors to detect location
and used user profile data to create personalized
messages, even then the users felt an encroachment
into their personal space. Users felt that mobile ads
caused disturbance during work and as a result most
of the times they junk ads without going through
them. This seems to corroborate with the findings of
Elliot and Speck (1998), according to whom clutter,
repetition of ads and disruption caused by ads led to
feelings of ad intrusiveness and resulted in ad
avoidance.
5 CONCLUSIONS
Previous studies have looked at mobile advertising
as an effective mode of marketing communications.
The studies have discussed the role of
contextualization, personalization, and
customization in reducing intrusiveness of mobile
advertising and also to create a positive attitude
amongst the users towards mobile ads. However,
little research has emphasized on the darker side of
this intrusion of the users privacy through mobile
advertising. This study has endeavored to initiate a
discussion in this direction. Specific implications of
this study for practitioners would be:
Although mobile advertising effectiveness can be
improved through understanding the needs of the
users and customization of ads, still, it invades
the privacy of the individuals through push
advertising.
Many factors, like demographic characteristics
and psychological characteristics affect an
individual’s attitude towards a technology
intervention. The results of this study indicate
that there are significant differences in the
perceptions of intrusiveness based on
demographic characteristics like age, busy work
schedules, purpose of using mobiles.
If the mobile service providers used pervasive
sensors to detect location and used user profile
data to create personalized messages, even then
the users felt an encroachment into their personal
space. Advertising should be user driven rather
than service provider driven. If certain
mechanisms like search ad agents are developed,
the users would access advertising based on their
needs. Once the user makes a query to the ad
engine then the information about his location
should be detected at request.
Gathering information for contextualization and
customization of messages raises privacy
concerns and the regulatory and corporate
policies should address such concerns, so that
users of mobile services do not feel that their
privacy is being raided and invaded.
The study has also attempted to identify some areas
for future research, despite its limited scope in
reference to the participant pool, the sample size and
location convenience.
REFERENCES
“Gartner Says Worldwide Relational Database Market
Increased 14 Percent in 2006,” 18 June 2007, Press
Releases.
Abernethy, A.M. (1991) “Physical and mechanical
avoidance of television commercials: an exploratory
study of zipping, zapping and leaving,” in Holman, R.
(Ed.): Proceedings of the American Academy of
Advertising, American Academy of Advertising, New
York, pp.223–231.
Akçura M.T., Altinkemer K. (2002), “Diffusion Models
for B2B, B2C, and P2P Exchanges and E-Speak,”
Journal of Organizational Computing and Electronic
Commerce, Vol. 12, No. 3, pp.243–261.
Barkhuus, L. and Dey, A., “Location-Based Services for
Mobile Telephony: a study of users' privacy
concerns,” Proc. of Interact ’03, Zurich, 2003, pp.709-
712.
Barnes, S.J. & Scornavacca, E. (2004), “Mobile
marketing: the role of permission and acceptance.”
CONSUMER PRIVACY BEING RAIDED AND INVADED - The Negative Side of Mobile Advertising
121
International Journal of Mobile Communications, 2(2),
pp. 128–139.
Barnes, S.J. 2002b. “Wireless digital advertising: nature
and implications.” International Journal of
Advertising, Vol. 21, 399-419
Barwise P. & Strong, P. (2002), “Permission-based mobile
advertising,” Journal of Interactive Marketing, Vol.
16, No. 1, 14-24.
C. Georgiadis, I. Mavridis, and A. Manitsaris(2005),
Context-Based Humanized and Authorized
Personalization in Mobile Commerce Applications,
International Journal of Computing & Information
Sciences, vol. 3(2), August 2005, pp. 1-9.
Campbell, M.C. and Keller, K.L (2003), “Brand
Familiarity and Advertising Repetition Effects,”
JOURNAL OF CONSUMER RESEARCH, Vol. 30,
No. 2, pp. 292-304
Cleff, E.B. (2007), “Privacy Issues in Mobile
Advertising,” International Review of Law,
Computers & Technology, Vol. 21, No. 3, pp. 225 –
236.
Cranor L. F. (1999), “Internet privacy,” Communication
of ACM, vol. 42, no. 2, pp. 29-31.
Dickinger, A., Haghirian, P., Murphy, J. & Scharl, A.
(2004), “An investigation and conceptual model of
SMS marketing,” Proceedings of the 37th Hawaii
International Conference on System Sciences, Big
Island, Hawaii, January.
Edwards, S.M., Li, H., Lee, J.H. (2002), “Forced Exposure
and Psychological Reactance: Antecedents and
Consequences of the Perceived Intrusiveness of Pop-
Up Ads,” Journal of Advertising, Vol. 31, No. 3, pp.
83-95.
Elliot, M.T., and Speck, P.S(1998), Consumer perception
of advertising clutter and its impact across various
media, Journal of Advertising Research, 38, 1, pp. 29–
41.
G. Camponovo and D. Cerutti, "The Spam Issue in Mobile
Business: a Comparative Regulatory Overview",
presented at the Third International Conference on
Mobile Business, New York, 2004.
Godin, S. (2001) 'Permission Marketing: Turning strangers
into friends, and friends into customers', Simon and
Schuster Publishing Company, New York, NY.
Gohring, N.(2002), “And now a word from our
sponsors…,” America’s Network, Vol. 106, No. 3, pp.
17.
Gratton, E. (2002), “M-Commerce: The Notion of
Consumer Consent in Receiving Location Based
Advertising. Canadian Journal of Law and
Technology, Vol. 1, No. 3, pp. 59-77.
Haghirian, P., Madlberger, M., and Tanuskova, A. (2005),
Increasing Advertising Value of Mobile Marketing:
An Empirical Study of Antecedents, Proceedings of
the 38th Hawaii International Conference on System
Sciences.
Heinonen, K. & Strandvik, T. (2007): Consumer
responsiveness to mobile marketing, International
Journal of Mobile Communications, 5 (6), pp.603-617.
Jelassi, T. & Enders, A. (2004) “Leveraging wireless
technology for mobile advertising,” Proceedings of the
12th European Conference on Information Systems,
Turku, Finland, 14–16 June .
Junglas, I. 2007. On the usefulness and ease of use of
location-based services: insights into the information
system innovator's dilemma. Int. J. Mob. Commun. 5,
4 (Mar. 2007), 389-408
Kaasinen E. (2003). User needs for location-aware mobile
services. Personal and Ubiquitous Computing, vol. 7,
no. 1, pp. 70-79.
Katz, E., Gurevitch, M., & Haas, H.(1973), “On the Use of
Mass Media for Important Things,” American
Sociological Review.
Kenny, D. and Marshall, J.F. (2000) “Contextual
marketing: the real business of the internet,” Harvard
Business Review, Nov–Dec Vol. 78, No. 6, pp. 119–
125.
Lee, ThaeMin & Jun JongKun (2005), Contextual
Perceived Usefulness? Toward an Understanding of
Mobile Commerce Acceptance, International
Conference on Mobile Business (ICMB'05) pp. 255-
261.
Li, Hairong, Steven M. Edwards and Joo-Hyun Lee
(2002), “Measuring the Intrusiveness of
Advertisements: Scale Development and Validation.
Journal of Advertising,” Vol. 31, No.2, 37-47.
Ng, S. ;Russell-Bennett, R. and Dagger, T. (2007), “A
typology of mass services: the role of service delivery
and consumption purpose in classifying service
experiences,” Journal of Services Marketing, Vol. 21,
No. 7, pp. 471-480.
Palen L, Dourish P (2003), “Unpacking ‘‘Privacy’’ for a
networked world,” In: Proceedings of the conference
on human factors in computing systems (CHI 2003),
Fort Lauderdale, Florida, pp. 129–136
Palmer, A. and O'Neill, M.(2003), "The effects of
perceptual processes on the measurement of service
quality", Journal of Services Marketing, Vol. 17 (3),
pp 252-274.
Petty Ross, D. (2003): Wireless advertising messaging:
Legal analysis and public policy issues. Journal of
Public Policy & Marketing, 22(1), 71-82.
Ranganathan, A. & Campbell, R. (2002),“Advertising in a
Pervasive Computing Environment. International
Conference on Mobile Computing and Networking,”
2nd International Workshop on Mobile Commerce,
10–14.
Siau, K. & Shen, Z. (2003),“Mobile communications and
mobile services”, International Journal of Mobile
Communication, Vol. 1, No. 2.
Tsang, M.M; Ho, Shu-Chun and Liang, Ting-Peng (2004),
Consumer Attitudes Toward Mobile Advertising: An
Empirical Study, International Journal of Electronic
Commerce, Vol. 8, No. 3, pp. 65–78.
Ververidis, C. & Polyzos, G. (2002), “Mobile marketing
using location based services,” Proceedings of the
First International Conference on Mobile Business,
Athens, Greece.
ICEIS 2010 - 12th International Conference on Enterprise Information Systems
122
Wehmeyer K.(2007), Mobile ad intrusiveness – The
effects of message type and situation, 20th Bled
eConference eMergence: Merging and Emerging
Technologies, Processes, and Institutions,Bled,
Slovenia
Zwass, V. (1996), “Ethical issues in information systems”,
In: Encyclopedia of Library and Information Science
(A. Kent, ed.), Volume 57, Supplement 20, pp. 175-
195.
CONSUMER PRIVACY BEING RAIDED AND INVADED - The Negative Side of Mobile Advertising
123