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The Harris Poll® #38, July 16, 2003
Majority in Favor of Making Mass-Spamming Illegal Rises to
79% of Those Online
About 40% of all emails received are now spam.
_____________________________________
by Humphrey Taylor
Public pressure to curb mass spamming with unsolicited emails (which often
try to sell pornography, loans, prescription drugs, investments and real estate)
continues to mount. In a new Harris Poll of adults who are online, fully 79% now
favor making mass-spamming illegal and only 10% oppose doing so.
Given the amount of spam this should come as no surprise. On average people
online estimate that they receive more than 40 emails a day, including those at
home, work or at other locations, and that 40% of these emails are spam.
These are the results of two Harris Polls, one conducted online between May
19 and 27, 2003 with a nationwide cross section of 3,462 adults who are online,
and the other with a nationwide sample of 655 online adults surveyed by
telephone between June 10 and 15, 2003.
The types of email which annoy the most people a lot are pornography (86%),
mortgages and loans (71%), prescription drugs such as Viagra (60%), and
investments (59%). Many, but fewer people, are annoyed a lot by spams selling
real estate (51%), software (36%) and computer and other hardware (31%).
Some of these questions were asked in a previous Harris Poll and the trends
are, in one sense, a bit of a paradox. Those who favor making spamming illegal
have increased (from 74% last December to 79% now). But those who find spamming
very annoying have declined from 80% last year to 64% now, and somewhat fewer
people (but still substantial majorities) are annoyed a lot by the main types of
spam. This suggests that while people may have become more efficient at
identifying and deleting spam, this has not in any way reduced their desire to
eliminate or reduce it.
Two technical points are worth noting. Some experts have argued that making
spamming illegal would not work, and the spammers would move offshore where they
could not be prosecuted. The second point relates to the capacity of the
Internet system. This survey suggests that if spam could be greatly reduced
below its current level (40% of all emails in this research), this would free up
a huge amount of space for other more desirable Internet traffic.
Humphrey Taylor is the chairman of The Harris Poll®,
Harris Interactive.
TABLE 1
HOW ANNOYING IS SPAM?
"How much of a problem for you is SPAM – getting
unsolicited email from people who do not know you?"
Base: 3,462 Internet users surveyed online
| |
2000 |
2002 |
May 2003 |
| |
% |
% |
% |
|
Somewhat/Very Annoying |
69 |
96 |
93 |
|
Very annoying |
49 |
80 |
64 |
|
Somewhat annoying |
20 |
16 |
29 |
|
Not Annoying At All/Not Very Annoying |
27 |
4 |
7 |
|
Not very annoying |
8 |
3 |
5 |
|
Not annoying at all |
19 |
1 |
2 |
TABLE 2
MOST ANNOYING TYPES OF SPAM
"Which, if any, of the following spam emails annoy you a
lot, those selling . . . ?"
Base: 3,462 Internet users surveyed online
| |
December 2002 |
May
2003 |
| |
% |
% |
|
Pornography |
91 |
86 |
|
Mortgage and loans |
79 |
71 |
|
Pharmaceuticals/prescription drugs |
N/A |
60 |
|
Investments |
68 |
59 |
|
Real estate |
61 |
51 |
|
Software |
41 |
36 |
|
Computers and other hardware |
38 |
31 |
|
None of these annoys me a lot |
3 |
4 |
TABLE 3
FAVOR OR OPPOSE LAW TO MAKE MASS SPAMMING ILLEGAL
"Would you favor or oppose a law to make unsolicited
mass-spamming (emails trying to sell goods or services) illegal?"
Base: 3,462 Internet users surveyed online
| |
December 2002 |
May 2003 |
| |
% |
% |
|
Favor making mass spamming illegal |
74 |
79 |
|
Oppose making mass spamming illegal |
12 |
10 |
|
Don’t know |
14 |
11 |
Note: More than 70% of people of all ages, income groups, blacks, whites and
Hispanics, Republicans and Democrats, and both sexes favor banning mass
spamming.
TABLE 4
HOW MANY EMAILS RECEIVED DAILY?
"Thinking of all email addresses you have – at home,
work, or anywhere else – about how many emails do you think you receive on a
typical day?"
Base: 655 Internet users surveyed by telephone
| |
Total |
| |
% |
|
1 – 5 |
27 |
|
6 – 10 |
20 |
|
11 – 20 |
16 |
|
21 – 30 |
7 |
|
31 – 50 |
10 |
|
51 – 100 |
9 |
|
101 + |
7 |
|
Not sure/Refused |
4 |
|
Mean (average) Number of Emails Received on a Typical Day |
43 |
TABLE 5
WHAT PERCENTAGE OF EMAILS RECEIVED ARE SPAM?
"On a typical day, what percentage of all emails
you receive are spam, or unsolicited emails trying to sell you
something?"
Base: 655 Internet users surveyed by telephone
| |
Total |
| |
% |
|
0% |
10 |
|
1% - 5% |
19 |
|
6% - 10% |
9 |
|
11% - 30% |
12 |
|
31% - 50% |
15 |
|
51% - 80% |
13 |
|
81% |
19 |
|
Not sure/Refused |
4 |
|
Mean (average) Percentage of Emails Received That Are Spam on a Typical
Day |
40% |
Methodology
Online
The Harris Poll® was conducted online within the United
States between May 19 and 27, 2003 among a nationwide cross section of 3,462
adults. Figures for age, sex, race, education and number of adults in the
household were weighted where necessary to bring them into line with their
actual proportions in the population. "Propensity score" weighting was
also used to adjust for respondents’ propensity to be online.
In theory, with probability samples of this size, one could say with 95
percent certainty that the results have a statistical precision of plus or minus
two percentage points of what they would be if the entire adult population had
been polled with complete accuracy. Unfortunately, there are several other
possible sources of error in all polls or surveys that are probably more serious
than theoretical calculations of sampling error. They include refusals to be
interviewed (non-response), question wording and question order, and weighting.
It is impossible to quantify the errors that may result from these factors. This
online survey is not a probability sample.
Telephone
The Harris Poll® was conducted by telephone within the United
States between June 10 and 15, 2003 among a nationwide sample of 655 adults who
are online. Figures for age, sex, race, education, number of adults and number
of voice/telephone lines in the household were weighted where necessary to align
them with their actual proportions in the population.
In theory, with a probability sample of this size, one can say with 95
percent certainty that the results have a statistical precision of plus or minus
four percentage points of what they would be if the entire adult population had
been polled with complete accuracy. Unfortunately, there are several other
possible sources of error in all polls or surveys that are probably more serious
than theoretical calculations of sampling error. They include refusals to be
interviewed (non-response), question wording and question order, interviewer
bias, weighting by demographic control data and screening (e.g., for likely
voters). It is impossible to quantify the errors that may result from these
factors.
These statements conform to the principles of disclosure of the National
Council on Public Polls.
____________________________________________
W18887
Q550, Q570, Q575, Q580, Q585
J19035
Q193, Q196
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