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Plain Facts About Internet Filtering Software
Filters (also known as content filters or blocking software) are software
programs that block the transmission of data over the Internet. Internet
content filters are one of a number of tools in the spectrum of resources
available to librarians for managing Internet content. For over 100 years,
public libraries have gradually become more open to the public, through
additions to our services such as children’s rooms, popular reading collections,
open stacks, and outreach programs. In the last decade, the world has
also come to us through the burgeoning Internet. The Internet, especially
the Web, has changed library services in many positive ways, but it has
also introduced new challenges. Internet filtering—now used by one in
five public libraries, according to a study performed in 2000 by the University
of Illinois—is one tool librarians consider when exploring how to improve
Internet management.
All public librarians can benefit from understanding the concepts and
challenges associated with Internet filtering, but you will find this
information particularly helpful if:
- You receive federal or E-Rate funds for Internet Service Provider
(ISP) costs directly or through any grant or regrant program—since recent
legislation requires compliance with the Children’s Internet Protection
Act (CIPA) in order for your library to continue receiving these funds.
See the section below, “Understanding CIPA.”
- Your state or local government is considering or has passed legislation
requiring filtering for some or all of the computers in your library
that have open access to the Internet
- Library users, trustees, staff, media or other stakeholders have expressed
concern about filtering (or the lack of it)
- You plan to use Internet filters in your library for any reason
- You are evaluating the wider range of tools available for managing
Internet access, such as privacy screens, privacy desks, or proxy servers
for configuring special-use machines
What Are Filters And How Do They Work?
Filters employ two primary methods for blocking data: word blocking
and site blocking.
Regardless of the methods used for blocking Internet content, no filter
is perfect. All filters under-block and over-block (see especially Ayre,
2001 and Schneider, 1997). The far-reaching claims of some filtering products
may lead to a false sense of security among members of your community,
who may believe that filters never block information they are interested
in or that children will never see “surprising” Internet sites. Additionally,
filters are useless in preventing adults from preying on children. Ensure
that your Internet management practices include advising parents that
filters can never substitute for parental involvement, and advising all
members of your community that filters may block information they want
to see.
Word Blocking
Word blocking (also known as keyword blocking) matches web pages against
a list of keywords. If the web pages match the keywords, the web pages are
blocked. Word blocking is the easiest form of filtering to implement, because
it relies on software, rather than human review. Word blocking is also the
most inaccurate form of filtering. When people talk about web pages blocked
because they include the phrases “XXX” or “chicken breast,” they are referring
to keyword blocking. Many libraries that use filters disable keyword blocking
because of its tendency to indiscriminately overblock. Some filtering companies
make their keyword stoplists available on their Web sites, but most do not.
Site blocking
Site blocking matches web pages on the Internet against a list of predetermined
sites. When the user attempts to access the site on the stop list, the filter’s
stoplist prevents this action, sometimes by displaying a web page, or “denial
page,” that announces that the site in question is blocked. The default
denial page can range from an obscure error code (such as, “Cyber Patrol
Code 2”) to a list of the site or sites blocked with a link to email the
library staff. In some cases, library technical support staff can customize
this denial page to include alternate text or to point back to another webpage;
be sure to watch for this feature when evaluating filters.
Most site-blocking stoplists are created in part or entirely by human
review; employees of the filtering companies select sites to be included
on the stoplist. (The article by Peter Lewis included in this bibliography
is a revealing look inside the site selection process.) Because creating
these proprietary databases is expensive, to protect the company’s investment,
most filtering stoplists are hidden; you (or anyone else) can’t see any
of the sites included in the filter’s database. In four years of evaluating
filters, I have identified only one product that allowed a viewable stoplist—and
it was such a short list that the product was essentially useless. In
practice, the only way you will know if a filter blocks a Web site inappropriately
is if someone reports it after the fact, or you constantly review all
web activity. (Some filtering companies provide search engines for determining
if a Web site is blocked, but this presents the same problem; you aren’t
going to enter all 116 million Web sites into the filter company’s search
engine.)
How often a company updates its stoplist, and how frequently your staff
updates the filter’s local database, impact the reliability of the filter.
Filtering software, like anti-virus software, must be continually updated.
Note that most filter companies charge maintenance fees for updated filtering
lists as well as technical support.
What is your recourse when a site is inappropriately blocked (or not
blocked)? In most cases, if you are aware of the problem, you can add
or delete sites to a local stoplist, which addresses the needs of your
own site, but actual changes to the filter itself to correct database
errors must be forwarded to the company, which may take days, weeks or
months to review the request. Of course, a site list created by one company
is not going to be able to adapt itself to every community, let alone
every person viewing a Web site. What we discovered in a filtering study
conducted in 1997 is that over time, controversial Web sites disappear
and reappear in filters—possibly due to requests to remove and then reinstate
the sites. This underscores the highly subjective nature of filters; in
the end, filters represent the opinions of the people who select their
content content and the many different interpretations of what is, and
is not, judged to be obscene, objectionable, or simply offensive.
Filtering Categories
Most filtering stoplists are broken into categories which can be selected
for blocking or for open access. These categories are arbitrary; there is
no “MARC” standard (or any other industry standard) for filtering categories.
While most filters include categories related to sexual activity and nudity,
the wide range of filtering categories reflect the target markets: filters
produced for business environments may include categories for “vehicles,”
“travel,” or other Web sites employers may not want employees using during
business hours. Filters produced for the school market may include categories
for “violence” or “hate sites.” (Very few filters are produced primarily
for the library market, which also means that the needs of library customers
take a back seat in designing filters.)
Vendors usually provide the criteria for filter categories on their
Web sites. However, these categories, and the Web sites assigned to them,
are highly subjective, so when evaluating and configuring library filters,
be careful about assumptions, such as “anything we would provide would
automatically make it through a filter.” A filter I tested recently blocked
one of our in-house databases, Valueline, because the filter placed it
in a category of financial resources inappropriate for use during “business
hours.” Additionally, due to human error, Web sites can end up in any category—and
due to the hidden nature of filters, this will not be obvious to you unless
you see the site blocked, or someone who attempts to access a blocked
site reports it. Organizations such as the Quakers, the Mormons, the American
Association of University Women have been blocked by filters. Filtering
sites that are not related to sexual content raise far more concerns about
First Amendment rights.
Software, Server, or Remote Proxy?
Some Internet filters are client software, intended to be installed and
managed on individual computers. Others are server-based software, which
means they are centrally installed and managed. Finally, some filters are
provided through remote servers, often called remote proxy servers and less
frequently, but more accurately, ASPs (Application Service Providers).
Evaluations of Internet filtering software have identified characteristics
common to client, server, and remote proxy servers. Client filters can
interfere with other computer software, is the least reliable with respect
to under- and over-blocking; however, in small libraries, or where you
only plan to filter a few workstations, client filters are typically the
least expensive alternative. Server-based filters require central installation
and management, do not require software to be installed on individual
computers, is more reliable than client software, is cost-effective in
large numbers, and usually provides the most features and configuration
options. Remote proxy filters provide some of the advantages of server-based
filters, particularly centralized management, and can be cost-effective
for libraries that do not maintain their own servers and do not want to
maintain software on each computer, but in most cases provide few if any
options for local configuration and control, such as the ability to configure
the denial page or override a blocked site. Both server-based and remote
proxy filters usually offer the ability to configure filtering per-machine
or per-user; for example, if your library has a Microsoft NT network,
the “staff” group could have one level of access and the “public” group
could have another, or you could determine that a specific machine would
be filtered or not filtered regardless of who logged in to it.
Finally, several vendors offer the capability to provide barcode or
smart-card management. (Smart cards have computerized chips embedded in
them that contain patron data; smart cards also require special readers
on each computer.) Automated authentication is very good news, as managing
who has access to filtered or unfiltered Internet computers can be a daunting
and unpleasant task for front-line library employees, who may feel that
their job title has changed from “reference librarian” to “police officer.”
Barcode management is the least expensive, since most libraries currently
use barcode technology and configuring computers with barcode readers
are not essential (patrons can type the numbers). Barcode readers are
under $100, if you would like to make the Internet logon experience more
comfortable for patrons.
Smart-card technology, while promising, is still expensive to implement;
the one working configuration I am familiar with (Englewood Public Library,
Colorado) requires a second, high-priced “smart card” exclusively for
Internet access. Nevertheless, typed or “swiped” barcodes or smart-card
technology offer the opportunity to do away with clumsy sign-in sheets,
and give you the opportunity to place computers anywhere in the library.
Be Vendor-Savvy
Be wary of promises that a filter blocks “obscenity” or “illegal content,”
and also be cautious if a sales representative pressures you to use a particular
product in order to comply with local, state or federal laws. While the
recent CIPA legislation will require libraries to block transmission of
content “harmful to minors,” in practice, there is no way to guarantee that
this has been accomplished, and all filters have demonstrated that they
will let through content they are supposedly designed to block.
Only a court of law can determine if content is obscene, and filtering
companies do not have police or lawyers on staff to determine whether
content is “illegal.” (Furthermore, reassurances that a filter complies
with “the law” because it blocks “porn” should be ignored, as pornography
is not illegal.) However, it is a legitimate sales pitch to say that a
filter blocks (or attempts to block) Web sites depicting—for example—a
content-neutral category such as “full nudity.”
Some companies have begun pressuring libraries to purchase filtering
software in order to be compliant with the Children’s Internet Protection
Act (CIPA). Libraries that receive federal funding, such as E-Rate and
LSTA grants, will need to certify by late October, 2001, that they plan
to implement “technology protection measures” by Funding Year 5 (July
1, 2002), or filtering, for all publicly-accessible Internet computers—staff
as well as public, according to the FCC guidelines (there are also no
exceptions for consortium staff). However, as of this writing, there is
no legal requirement at the federal level to install or use a filter if
you are not receiving E-Rate or LSTA funding for telecommunications costs.
Some state have passed filtering legislation that impacts libraries. If
CIPA is upheld, it will only apply to libraries receiving federal funding
for the purposes outlined in the law.
What happens if a library (or library consortium) chooses not to comply?
If the FCC audits the library and determines that the library certified
it was in compliance but was not in fact compliant, the library could
fail to receive (or be directed to return) its federal funding.
Inevitably, software companies have attempted to improve library filters.
Some filters claim to incorporate artificial intelligence features. Vendors
may toss around terms such as “dynamic document review” or “intelligent
content recognition.” These terms boil down to simple keyword analysis,
sometimes with a small mathematical algorithm tossed in for good measure—which,
as librarians understand, is an extremely crude method of organizing or
filtering information. While vendors claim that their products have become
extremely sophisticated, the reality, demonstrated by all evaluations
of filtering software performed outside the filtering industry, is that
filters are still mechanical tools wrapped around subjective judgment,
and no bell or whistle can change that.
Often, so-called “advanced” tools rely on unproven technologies—such
as filters that claim to be able to distinguish human flesh from other
images—or on embellishments to keyword blocking that sound sophisticated
but are no great improvement. One “advanced” filter blocked a site with
cat poetry because the word “pussy cat” appeared too often on the webpage.
Use common sense in evaluating vendor claims; if it sounds like an amazing
new discovery, it probably isn’t.
How Much Do Filters Block?
Librarians should evaluate filter features (discussed in the next section),
and should use a working environment to examine products carefully before
purchase. However, evaluating filters by testing them against a few dozen
Web sites or keywords—while useful for evaluating filters against one another--can
be very misleading with respect to conclusions about filters in general.
As of this writing, there are over 116 million web sites—with several new
hosts added every second. If a filter blocks 1 out of a thousand Web sites,
simple math tells us that the filter could, potentially, block hundreds
of thousands of Web sites. A claim of 99% accuracy—not made by any filter
known to this author—would still result in blocking 1.6 million Web sites.
Any given host may provide millions of individual web pages, with many more
added every day. Clearly, even a modest rate of error has the potential
to block vast amounts of valuable—and Constitutionally-protected—information.
Conclusions about the impact of blocking “only” a number of Web sites
should take into account how filters work. Your own library provides the
best analogy. Web sites removed by filters are not placed on book trucks
for your inspection before final “weeding.” Instead, imagine that every
night a special weeding team crept in and removed a few books from your
library’s shelves, and the books’ records were silently expunged from
your catalog. Unless your library was extremely small, it would take a
while to even realize that books were missing—and identifying what was
gone would be extremely difficult. Nevertheless, the impact on your collection
would be very real, particularly in areas of the collection that have
controversial materials. That is how filters work—by silently removing
all evidence that the sites in question ever existed, and relying on a
very large data set (the Internet) to obscure the absence of this content.
Filters and Privacy
Many filters have the capability to gather information about Internet use.
Depending on the filter, this information can be highly detailed, including
time, date, machine, and sites accessed. Some products allow administrators
to view actual Internet use per-machine in real time. Products that display
and report user information can, of course, gather and store highly-sensitive
data. Data gathered by filters can be very helpful for interpreting use
patterns, filter effectiveness, and even network response time. However,
ensure that you can configure a filter so it does not gather or store information
that your policies and laws prevent you from gathering or storing.
Additionally, several proxy-based filters offer or plan to offer the
capability to store information off-site. One product includes an “after
hours” feature where Web sites or entire categories that are locally blocked
can be deferred to an off-site server so the user can access the information
later. [This feature raises legal and ethical questions about ownership
of off-site data. State confidentiality laws or local policies may prevent
you from signing contracts that delegate control of patron data to commercial
third-parties.
Finally, remote proxy servers by definition store all data off-site,
since the filtering servers are located at the parent company. In 2000,
the Wall Street Journal revealed plans for N2H2, publishers of the widely-used
Bess remote proxy server, to sell children’s Internet-use data to the
Department of Defense. After widespread publicity, N2H2 backed off, but
this illustrates the importance of a contract that protects your patrons’
Internet data.
CIPA and Filtering
At least this year, no discussion of filtering is complete without outlining
compliance guidelines for CIPA. CIPA was passed as a rider to an appropriations
bill in December, 2000. The ALA Web site for CIPA, www.ala.org/cipa , includes
the full text of the bill, legal interpretations of CIPA by the legal counsel
for the American Library Association (ALA), and current status of legal
activity. Both ALA and the American Civil Liberties Union are challenging
CIPA in court. (The case is scheduled to go to trial in February 2002.)
Key points:
- Applies to libraries, library consortia, and schools that receive
federal funding, including E-Rate, LSTA and other federal sources
- Affects Internet Service Provider (ISP) costs, not the discounts received
for data lines (phone service, dedicated Internet lines) or internal
connections (hardware).
- Can be selectively implemented in consortia, provided that the system
only request discounts for the libraries that certify compliance with
CIPA
- Does not require consortia or state libraries to police compliance
- IMLS guidance for LSTA is still forthcoming—watch carefully for grant
guidelines
- Filtering is not required in E-Rate Funding Year 4 (July 1, 2001 through
June 30, 2002)
- To receive discounts on ISP costs in Funding Year 5 (July 1, 2002
through June 30, 2003), a library must certify it is in compliance with
CIPA. For E-Rate funding year 5, compliance means you have…
- Implemented “technology protection measure” (interpreted to mean
a filter) for all computers that have access to the open Internet,
staff as well as public, adults as well as children (no exceptions
for administrators, system staff, and so forth).
- Developed an Internet policy on use of the Internet by adult and
child users
- Held public meetings about the library’s Internet services and
policies, including filtering
The resources at the end of this Technote can help you with the specifics
of these compliance areas. However, it’s important to note that the guidelines
for CIPA vary according to the E-Rate funding year. For Year 4 (beginning
July 1, 2001 through June 30, 2002, a library only has to be “undertaking
action”—not actually filtering--to be in compliance with CIPA.
Be sure to thoroughly read the documents cited at the end of this Technote,
particularly the resources from the FCC, ALA, and the Schools and Libraries
Division. Guidance for CIPA is still evolving.
ALA’s Position On Filtering
The position of the American Library Association on filtering is probably
as misunderstood as filtering software itself.
In 1997, the Council of the American Library Association, a body elected
by ALA members, voted overwhelmingly to approve a resolution that states
in part, “RESOLVED, That the American Library Association affirms that the
use of filtering software by libraries to block access to constitutionally
protected speech violates the Library Bill of Rights.”
In this statement, the American Library Association reminds libraries that
Internet practices should be congruent with the principles of intellectual
freedom. Filters are designed to block data; that is their purpose. The
inherent characteristics of filters—which rely on hidden, anonymous third-party
decision-making--make it inevitable that filters block some Constitutionally-protected
speech. Therefore, any use of filters in libraries should be designed to
ensure that patrons may have access for any lawful purpose to an entirely
unfiltered Internet, without prior restraint. This emphasis on the patron’s
right to choose is consistent with our profession’s commitment to intellectual
freedom, and is consistent with many library practices. Libraries rarely
limit what can be read in a library. Librarians do not search patrons’ book-bags
for titles the library would not purchase, or police reading tables to see
if patrons are reading materials consistent with local collection-development
policies. In a similar vein, many libraries offer open access to the Internet,
so that the patron may choose what to read. Librarians believe in supporting
a wide variety of information needs.
In many libraries, standard practice and policy is to defer filtering
decisions for children to their parents (and only the children’s parents).
Unlike teachers in many schools, public librarians do not act in loco
parentis (in place of the family).
Key Questions For Planning Internet Management Strategies
Internet filters are just one of many tools available for managing Internet
content, and integrating them into your service scheme is important. Before
selecting a filter and determining how it will be configured, first ask:
- What is it you are trying to accomplish? (Prevent people from accidentally
viewing sexually-explicit content? Provide a choice of filtered or unfiltered
access? Provide adults with mechanisms for determining whether their
children will have open or unfiltered Internet access? Compliance with
legal mandates, such as CIPA or state or local laws?)
- What intellectual-freedom principles do you want to support? (A choice
of unfiltered access for adults? Patron privacy? Open access for all,
regardless of age?)
- What information should be provided to the patron about the filter?
Should the patron be made aware that the search is filtered? Should
he or she see the URLs for blocked sites? Should they have recourse
to contacting library or company staff?
- Which tools will meet your needs? (The answers here could include
filters, privacy screens, positioning computer monitors away from foot
traffic, educational materials and programs, privacy desks, customized
browsers that authenticate users based on access level, etc.)
- Which tools match the risk level that your governing board or commission
is willing to accept?
As you begin the process of evaluating your Internet management options,
including filtering, keep in mind that the process of anonymous third-party
site selection means no filter can guarantee patrons will never see content
you or anyone else considers inappropriate. This is also important to
remember when writing Internet policies; you cannot promise that patrons
will never access information they find offensive.
Evaluative Questions about Internet Filters
After these questions, I have provided “checklist” questions for you and
your technical support staff to use in evaluating Internet content filters,
and in the bibliography, I have cited several recent evaluations of Internet
content filters. Here are several broad questions to ask about each product:
- Is the vendor’s contract congruent with your policies and laws?
- Can you configure the filter so it is congruent with your Internet
access and privacy policies and laws?
- Does the Internet filter integrate well into your current network
operating environment (such as your operating system and network support
capabilities)?
- Compared to similar products, how well does the filter block the types
of content you intend to block, and provide access to resources you
intend to make available?
Pay attention as well to TCO issues (Total Cost of Ownership). Does
the filtering software require a separate piece of hardware, such as a
dedicated server, and how much will that cost to establish and maintain
(including annual licensing requirements for the filtering database and
technical support)? Will you require special training or more staff hours
to support it? Do you need to purchase additional hardware to implement
the filter? Who will be responsible for ensuring that it works properly?
Will the company provide a list of current customers or at least several
libraries that are using its product? Will you need to train library staff
how to respond to inappropriate blocks? If it is an remote proxy server,
does it require communicating with the company every time a minor change
is required? One library wrote its own web browser in order to implement
filtering in a manner consistent with its Internet policy; this was a
significant investment. These are only a few questions to consider in
introducing any new technology, including filters, in your network.
Features In Filters
In the table below, I have left two columns empty for you to fill in. The
first column, Ranking, is where you would weight or prioritize each feature.
Decide on a weighting scheme—for example, 1 for “must,” 2 for “should,”
3 for “nice to have,” etc. The second column, Grade, lets you evaluate the
ability of the product to fulfill this feature—any scale will do, but school
grades (A through F) are one way to go. Finally, TCO is your calculation,
based on the initial and ongoing costs of the filtering software and associated
hardware, network, equipment, personnel and training costs, of what it will
cost you to deploy this filter in your networking environment.
In some cases, you may end up with a requirement that no filter can
meet. One recourse is to communicate your needs to the vendors whose products
otherwise meet your top ranking criteria. For example, if the filters
that are compatible with your network operating environment will not allow
you to view the stoplists they use to block Web sites, you should take
that concern back to the vendors and negotiate from there. Since in some
cases you may experience external pressure to use a particular filter,
consider documenting your product decisions to explain to your stakeholders
why you have chosen not to implement a product.
Finally, please note the extensive product notes below this table. For
further explanation of these product criteria, see extended discussions
in Schneider, Karen G., A Practical Guide to Internet Filters, Neal Schuman,
1997.
| |
Feature |
Found In |
Ranking |
Grade |
TCO |
| |
|
|
|
|
|
| 1 |
Vendor-supplied stoplist |
Most filters |
|
|
|
| 2 |
Viewable stoplist |
A couple of client filters |
|
|
|
| 3 |
Add or remove sites in stoplist |
Most filters |
|
|
|
| 4 |
Automated stoplist download |
Most filters |
|
|
|
| 5 |
Frequency of stoplist update |
Varies widely |
|
|
|
| 6 |
Support third-party lists (Note 1) |
Most filters |
|
|
|
| 7 |
Keyword filtering |
Most filters |
|
|
|
| 8 |
Can disable keyword filtering |
Most filters |
|
|
|
| 9 |
Block to file level (Note 2) |
Most filters |
|
|
|
| 10 |
Block by protocol (Note 3) |
Many filters |
|
|
|
| 11 |
Block by time of day (Note 4) |
Many filters |
|
|
|
| 12 |
Block by NT or Novell user groups |
Many service-based filters |
|
|
|
| 13 |
Block by IP of workstation |
Many service-based filters |
|
|
|
| 14 |
Can talk to ILS patron database (Note 5) |
One or two server-based filters |
|
|
|
| 15 |
Host name resolves to IP (Note 6) |
Most filters |
|
|
|
| 16 |
Support barcode entry (Note 7) |
Many server-based filters |
|
|
|
| 17 |
Support smart-card logins (Note 7) |
Many server-based filters |
|
|
|
| 18 |
Support multi-choice login pace (Note 8) |
Some server-based filters |
|
|
|
| 19 |
Vendor-defined categories |
Most filters |
|
|
|
Notes Regarding Filters
Note 1. Support Third-Party Lists. This feature allows you to create your
own filtering lists. This can be particularly useful for special-use computers,
such as machines restricted to commercial databases, or children’s computers
you wish to restrict to several h undred “kid-friendly” resources.
Note 2. Block to file level. The filter is able to block individual
files on Web sites, versus an “all or nothing” approach where the entire
site is blocked or not blocked.
Note 3. Block by protocol. The filter can block or enable access to
specific protocols, such as telnet, ftp, Usenet, and SMTP. This feature
was more significant before most applications moved to the Web, but still
can be useful in some settings.
Note 4. Block by time of day. The level of access can vary with the
time of day. One useful application of this feature is to block all or
most Internet access when the library is not open, to prevent contractors
from using Internet computers for personal use.
Note 5. Can talk to ILS patron database. A very nontrivial feature.
Vastly simplified for this Technote, a filter that can talk to a patron
database presumably has an API (application programming interface) that
allows data to pass between the filter and the integrated library system
(ILS). This would provide the potential to use the ILS for authenticating
and organizing access to the Internet, for example, providing filtered
access for children and unfiltered access for adults.
Note 6. Host name resolves to IP. Some less-expensive filtering software
is unable to translate the IP (numeric) address for a Web site to the hostname,
meaning filtered Web sites can be easily bypassed by typing in their IP
addresses. However, the flip side of this problem is that filters
Note 7. Support barcode and/or smart-card login. Several server-based
filters offer the potential to authenticate users through barcoded cards
or proprietary smart-cards.
Note 8. Support multiple-choice login page. The filter can support an
authentication page that allows users to select how they log in (filtered
or unfiltered access, for example).
Note 9. “After hours” feature. This feature, discussed earlier, stores
selected Web sites in an offsite server, for later retrieval.
Note 10. Option to warn versus block. This feature provides the ability
to present a warning screen which a patron could then choose to override.
Note 11. Option to monitor versus block. Some filters provide the capability
to turn on the filter and run it in filtering mode without blocking, so
you can analyse how the filter works, what sites are accessed, and what
sites the filter blocks.
Note 12. Web rating systems are not in widespread use, but occasionally
come up in discussion. These rely on voluntary rating systems for Internet
Web sites, and browsers that support implementation of these ratings. See
Schneider, A Practical Guide to Internet Filters, for a longer discussion.
Web rating systems are not important criteria for an Internet filter.
Note 13. Administrative override for blocking. Some filters allow administrators
to override a block by entering a password.
Note 14. Administrative delegation. Some filters provide the capability
to delegate selected administrative functions to other staff, including
the ability to administer an entire subnet without full access to the
server. Selective delegation of administrative functions is particularly
useful when it enables system staff to empower front-line staff, such
as reference librarians, to override blocked content.
Note 15. Remote administration. Allows the software to be managed remotely,
most often through a Web interface. Some server-based products require
installation of the management module at each client used for administration—a
cumbersome requirement.
Note 16. Report and logging capabilities. Analysing what the filter
does requires its ability to log detailed filtering activities. Some filters
provide internal report tools. Otherwise look for filter logs that can
be interpreted by standard applications such as Excel, Access or Webtrends.
Look for “canned,” customizable reports.
Bibliography
Children’s Internet Protection Act (CIPA)
Bocher, Robert. 2001. Wisconsin
E-Rate Information.
Bocher, Technology Consultant for the Wisconsin Division of Public Instruction,
also serves on the E-Rate Task Force of the American Library Association.
His analyses of CIPA are excellent; other resources on this site include
a chronology of filtering legislation.
[CIPA Web site.] American Library
Association. 2001.
This Web site provides information about the status of ALA’s lawsuit, full
text of the legislation, legal analyses, and additional citations related
to the Internet, filtering, and intellectual freedom.
Center
for Democracy and Technology. 2001.
A readable version of the actual text of the CIPA legislation.
Federal
Communications Commission. 2001. [FCC CIPA Regulations.]
These are the FCC’s regulations for compliance with CIPA. This document
is essential reading for library administrators, systems librarians and
E-Rate coordinators. The regulations provide most of the answers to commonly-asked
questions about implementing CIPA.
Latham, Joyce. 2001. Positioning the Public Library in the Modern State:
The Opportunity of the Childrens Internet Protection Act (CIPA). First
Monday, 6:7.
A legal and historical analysis of CIPA. Thoughtful and far-reaching;
addresses the question of public forums and the library.
Schools and Libraries Division. Universal Service Corporation. 2001.
Specific CIPA Guidance for Year 4 Undertaking Actions Certification.
Another helpful document for administrators navigating the CIPA implementation
maze.
Filtering
Ayre, Lori Bowen (2001). Internet
Filtering Options Analysis: An Interim Report. Infopeople Project.
An evaluation of key filtering products, with guidelines for assessing
and selecting filters. Addresses limitations of filters without making
that the focus of the report.
“Digital
Chaperones for Kids,” Consumer Reports, March, 2000.
This well-respected consumer magazine evaluated Internet filters and concluded
they were imperfect.
Hunter, Christopher. Filtering
the Future?: Software Filters, Porn, PICS, and the Internet Content Conundrum.
1999.
This lengthy paper, submitted in partial fulfillment of a thesis requirement,
discusses the imperfections of filters.
Hunter, Christopher. "Internet Filter Effectiveness: Testing Over and
Underinclusive Blocking Decisions of Four Popular Filters." Computers,
Freedom, and Privacy 2000 Conference Proceedings.
Another analysis of the performance issues related to content filtering
by a doctoral student who has followed this issue for several years.
Intellectual Freedom Committee, American Library Association. 2000.
Statement on Library
Use of Filtering Software
ALA’s statement on filtering is frequently misquoted; read it carefully.
Lewis, Peter. “Web `watchdogs work to block sex, violence from eyes
of young surfers.” The Seattle Times Dec. 17, 1997.
A reporter interviews the young part-time employees selecting sites to
block in filters.
Meeks, Brock and McCullagh, Declan. 1996. Keys
to the Kingdom.
An early expose of Internet content filters; one of the first recorded
instances of a filter blocking innocuous sites such as the National Organization
for Women.
“Lifting
the Curtain on Web Filter Strategies ,” New York Times, November
16, 2000.
A history of efforts by the filtering industry to protect the content
of their stoplists.
Nunberg, Geoffrey. The
Internet Filter Flimflam.
A scientist at Xerox PARC evaluates filtering.
Other Related Resources
Glogoff Stuart, The
RFP Process. [1998.]
A concise and articulate overview of the process for establishing a Request
For Proposal.
Schneider, Karen G. (1997). A Practical Guide to Internet Filters. Neal
Schuman.
An early study of Internet content filters, including evaluation of 12
filtering products. Includes an in-depth discussion of how filters work.
For further reading about filtering, see in particular Christopher
Hunter’s bibliography,
Library Research Center. Graduate School of Library and Information
Science. 2000. Survey of Internet Access Management in Public Libraries.
University of Illinois.
A study found that approximately 15% of all public libraries filtered
at least one Internet computer.
Author Notes
Karen G. Schneider is the Coordinator, Librarians Index to the
Internet, lii.org (as of October 1, 2001). Schneider, who has extensive
public library experience, is also the author of A Practical Guide
to Internet Filters (Neal Schuman, 1997), co-moderator of PUBLIB,
the discussion list for public librarians, a columnist for American
Libraries, and a frequent speaker on library issues.
The Public Library Associations Tech Notes project grew out
of the desire to continue the work of Wired for the Future: Developing
Your Library Technology Plan, by Diane Mayo and Sandra Nelson, published
for PLA by ALA in 1999. Each of the Tech Notes, written by GraceAnne A.
DeCandido, is a Web-published document of 1,5002,000 words, providing
an introduction and overview to a specific technology topic of interest
to public libraries at a particular point in time. Topics were identified
by PLAs Technology in Public Libraries Committee. Each note is marked
with the date of its completion and posting, and with the date, approximately
one year later, when links and other information were reviewed.
The Technology for Public Libraries Committee
is currently evaluating if the Committee should request PLA funding for
additional Tech Notes. Readers comments and suggestions are welcome
and should be addressed to pla@ala.org.
Please use Tech Notes in your subject line.
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